{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "d62e2351",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "沪深300 460\n"
     ]
    },
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "      <th>9</th>\n",
       "      <th>10</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2005-01-04</td>\n",
       "      <td>994.77</td>\n",
       "      <td>982.79</td>\n",
       "      <td>994.77</td>\n",
       "      <td>980.66</td>\n",
       "      <td>7412868</td>\n",
       "      <td>4431977400.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.02</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2005-01-19</td>\n",
       "      <td>974.33</td>\n",
       "      <td>967.21</td>\n",
       "      <td>974.33</td>\n",
       "      <td>965.26</td>\n",
       "      <td>6338091</td>\n",
       "      <td>3427951300.00</td>\n",
       "      <td>0.93</td>\n",
       "      <td>-0.77</td>\n",
       "      <td>-7.48</td>\n",
       "      <td>0.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2005-02-03</td>\n",
       "      <td>1005.56</td>\n",
       "      <td>993.22</td>\n",
       "      <td>1014.19</td>\n",
       "      <td>992.16</td>\n",
       "      <td>16974539</td>\n",
       "      <td>10057310300.00</td>\n",
       "      <td>2.19</td>\n",
       "      <td>-1.36</td>\n",
       "      <td>-13.69</td>\n",
       "      <td>0.05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2005-03-01</td>\n",
       "      <td>1039.35</td>\n",
       "      <td>1035.93</td>\n",
       "      <td>1042.74</td>\n",
       "      <td>1031.17</td>\n",
       "      <td>9962090</td>\n",
       "      <td>6288790700.00</td>\n",
       "      <td>1.11</td>\n",
       "      <td>-0.39</td>\n",
       "      <td>-4.06</td>\n",
       "      <td>0.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2005-03-16</td>\n",
       "      <td>1011.85</td>\n",
       "      <td>1003.07</td>\n",
       "      <td>1012.20</td>\n",
       "      <td>995.97</td>\n",
       "      <td>10622782</td>\n",
       "      <td>7153745900.00</td>\n",
       "      <td>1.60</td>\n",
       "      <td>-1.03</td>\n",
       "      <td>-10.45</td>\n",
       "      <td>0.03</td>\n",
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      "text/plain": [
       "           0        1        2        3        4         5               6   \\\n",
       "0  2005-01-04   994.77   982.79   994.77   980.66   7412868   4431977400.00   \n",
       "1  2005-01-19   974.33   967.21   974.33   965.26   6338091   3427951300.00   \n",
       "2  2005-02-03  1005.56   993.22  1014.19   992.16  16974539  10057310300.00   \n",
       "3  2005-03-01  1039.35  1035.93  1042.74  1031.17   9962090   6288790700.00   \n",
       "4  2005-03-16  1011.85  1003.07  1012.20   995.97  10622782   7153745900.00   \n",
       "\n",
       "     7      8       9     10  \n",
       "0  0.00   0.00    0.00  0.02  \n",
       "1  0.93  -0.77   -7.48  0.02  \n",
       "2  2.19  -1.36  -13.69  0.05  \n",
       "3  1.11  -0.39   -4.06  0.03  \n",
       "4  1.60  -1.03  -10.45  0.03  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\"\"\"\n",
    "python实现的东方财富网站股票数据爬取\n",
    "但因为官网数据是用JS渲染出来的，没法直接爬取\n",
    "\n",
    "我用的方法是去后台查json文件，然后找到包含股票数据的url链接，然后使用正则匹配出数据的\n",
    "（是用来训练模型的）\n",
    "\n",
    "也可以试试用selenium来实现，看看能不能获取到数据\n",
    "Ciallo～(∠・ω< )⌒☆\n",
    "\n",
    "\"\"\"\n",
    "\n",
    "import re\n",
    "import requests\n",
    "import json\n",
    "import pandas as pd\n",
    "\n",
    "url = 'https://push2his.eastmoney.com/api/qt/stock/kline/get?cb=jQuery351016702133557143928_1757311398446&secid=1.000300&ut=fa5fd1943c7b386f172d6893dbfba10b&fields1=f1%2Cf2%2Cf3%2Cf4%2Cf5%2Cf6&fields2=f51%2Cf52%2Cf53%2Cf54%2Cf55%2Cf56%2Cf57%2Cf58%2Cf59%2Cf60%2Cf61&klt=101&fqt=1&beg=0&end=20500101&smplmt=460&lmt=1000000&_=1757311398447'\n",
    "\n",
    "repsonse = requests.get(url)\n",
    "text = repsonse.text\n",
    "\n",
    "\n",
    "# 数据示例\n",
    "\"\"\"\n",
    "jQuery35109392514059566558_1756826314307({\"rc\":0,\"rt\":17,\"svr\":181669694,\"lt\":1,\"full\":0,\"dlmkts\":\"\",\"data\":{\"code\":\"000300\",\"market\":1,\"name\":\"沪深300\",\"decimal\":2,\"dktotal\":5021,\"preKPrice\":3941.42,\"klines\":[\"2025-03-12,3946.86,3927.23,3953.61,3921.47,156732190,309627267364.80,0.82,-0.36,-14.19,0.48\",\"2025-03-13,3925.74,3911.58,3939.29,3897.38,\n",
    "\"\"\"\n",
    "\n",
    "# 提取 JSON 数据 // 因为内部有括号，所以用正则匹配先去除掉里面的括号\n",
    "match = re.search(r'\\((\\{.*\\})\\)', text)\n",
    "\n",
    "json_str = match.group(1) # 获取括号中的内容\n",
    "data = json.loads(json_str) # 将字符串转为字典\n",
    "\n",
    "gupiao_name = data['data']['name']\n",
    "gupiao_size = len(data['data']['klines'])\n",
    "\n",
    "print(gupiao_name, gupiao_size)\n",
    "\n",
    "# for line in data['data']['klines']:\n",
    "#     print(line.split(','))\n",
    "\n",
    "data = [line.split(',') for line in data['data']['klines']]\n",
    "\n",
    "# pd.save_csv(f'{gupiao_name}-{gupiao_size}.csv', index=False)\n",
    "\n",
    "data = pd.DataFrame(data)\n",
    "data.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "4bba9459",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((115, 20), (115,))"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "\n",
    "raw_df = pd.read_csv(f\"{gupiao_name}-460.csv\")\n",
    "\n",
    "# 数据分为多行显示，每行包含不完整的记录，需要合并两行才能形成完整的记录\n",
    "data = np.hstack([raw_df.values[::2, :], raw_df.values[1::2, :]]) # 去除掉date从第2列开始的重复数据\n",
    "target = raw_df.values[::2, 2] # 获取从0开始，每隔2行取数据，即获取第1列数据\n",
    "\n",
    "# 将数据分开，分别为data训练集和target测试集\n",
    "data.shape, target.shape\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "edff668c",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>open</th>\n",
       "      <th>close</th>\n",
       "      <th>high</th>\n",
       "      <th>low</th>\n",
       "      <th>volume</th>\n",
       "      <th>amount</th>\n",
       "      <th>amplitude</th>\n",
       "      <th>change_pct</th>\n",
       "      <th>change_val</th>\n",
       "      <th>turnover</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>982.79</td>\n",
       "      <td>994.77</td>\n",
       "      <td>980.66</td>\n",
       "      <td>7412868.0</td>\n",
       "      <td>4.431977e+09</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.02</td>\n",
       "      <td>974.33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1003.07</td>\n",
       "      <td>1012.20</td>\n",
       "      <td>995.97</td>\n",
       "      <td>10622782.0</td>\n",
       "      <td>7.153746e+09</td>\n",
       "      <td>1.60</td>\n",
       "      <td>-1.03</td>\n",
       "      <td>-10.45</td>\n",
       "      <td>0.03</td>\n",
       "      <td>934.85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>868.46</td>\n",
       "      <td>871.77</td>\n",
       "      <td>855.59</td>\n",
       "      <td>9206929.0</td>\n",
       "      <td>4.777972e+09</td>\n",
       "      <td>1.87</td>\n",
       "      <td>0.59</td>\n",
       "      <td>5.12</td>\n",
       "      <td>0.03</td>\n",
       "      <td>848.54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>856.86</td>\n",
       "      <td>860.95</td>\n",
       "      <td>854.28</td>\n",
       "      <td>11816080.0</td>\n",
       "      <td>5.762385e+09</td>\n",
       "      <td>0.78</td>\n",
       "      <td>-0.33</td>\n",
       "      <td>-2.83</td>\n",
       "      <td>0.04</td>\n",
       "      <td>926.97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>916.15</td>\n",
       "      <td>927.42</td>\n",
       "      <td>914.81</td>\n",
       "      <td>11547644.0</td>\n",
       "      <td>5.549882e+09</td>\n",
       "      <td>1.37</td>\n",
       "      <td>-0.77</td>\n",
       "      <td>-7.12</td>\n",
       "      <td>0.04</td>\n",
       "      <td>903.27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>4024.28</td>\n",
       "      <td>4091.70</td>\n",
       "      <td>4002.50</td>\n",
       "      <td>335807938.0</td>\n",
       "      <td>6.391241e+11</td>\n",
       "      <td>2.21</td>\n",
       "      <td>-0.50</td>\n",
       "      <td>-20.29</td>\n",
       "      <td>1.03</td>\n",
       "      <td>3979.46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>3789.22</td>\n",
       "      <td>3810.74</td>\n",
       "      <td>3731.19</td>\n",
       "      <td>169166968.0</td>\n",
       "      <td>3.009657e+11</td>\n",
       "      <td>2.10</td>\n",
       "      <td>-0.18</td>\n",
       "      <td>-6.89</td>\n",
       "      <td>0.52</td>\n",
       "      <td>3829.05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>4010.17</td>\n",
       "      <td>4025.30</td>\n",
       "      <td>3989.51</td>\n",
       "      <td>144419428.0</td>\n",
       "      <td>2.860753e+11</td>\n",
       "      <td>0.89</td>\n",
       "      <td>0.06</td>\n",
       "      <td>2.45</td>\n",
       "      <td>0.44</td>\n",
       "      <td>3843.42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>3860.11</td>\n",
       "      <td>3884.54</td>\n",
       "      <td>3849.04</td>\n",
       "      <td>109601207.0</td>\n",
       "      <td>2.088768e+11</td>\n",
       "      <td>0.91</td>\n",
       "      <td>-0.57</td>\n",
       "      <td>-22.16</td>\n",
       "      <td>0.34</td>\n",
       "      <td>3870.67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>4135.82</td>\n",
       "      <td>4146.12</td>\n",
       "      <td>4112.97</td>\n",
       "      <td>222759815.0</td>\n",
       "      <td>4.067929e+11</td>\n",
       "      <td>0.80</td>\n",
       "      <td>0.21</td>\n",
       "      <td>8.66</td>\n",
       "      <td>0.68</td>\n",
       "      <td>4123.58</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>115 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        open    close     high          low        volume  amount  amplitude  \\\n",
       "0     982.79   994.77   980.66    7412868.0  4.431977e+09    0.00       0.00   \n",
       "1    1003.07  1012.20   995.97   10622782.0  7.153746e+09    1.60      -1.03   \n",
       "2     868.46   871.77   855.59    9206929.0  4.777972e+09    1.87       0.59   \n",
       "3     856.86   860.95   854.28   11816080.0  5.762385e+09    0.78      -0.33   \n",
       "4     916.15   927.42   914.81   11547644.0  5.549882e+09    1.37      -0.77   \n",
       "..       ...      ...      ...          ...           ...     ...        ...   \n",
       "110  4024.28  4091.70  4002.50  335807938.0  6.391241e+11    2.21      -0.50   \n",
       "111  3789.22  3810.74  3731.19  169166968.0  3.009657e+11    2.10      -0.18   \n",
       "112  4010.17  4025.30  3989.51  144419428.0  2.860753e+11    0.89       0.06   \n",
       "113  3860.11  3884.54  3849.04  109601207.0  2.088768e+11    0.91      -0.57   \n",
       "114  4135.82  4146.12  4112.97  222759815.0  4.067929e+11    0.80       0.21   \n",
       "\n",
       "     change_pct  change_val  turnover  \n",
       "0          0.00        0.02    974.33  \n",
       "1        -10.45        0.03    934.85  \n",
       "2          5.12        0.03    848.54  \n",
       "3         -2.83        0.04    926.97  \n",
       "4         -7.12        0.04    903.27  \n",
       "..          ...         ...       ...  \n",
       "110      -20.29        1.03   3979.46  \n",
       "111       -6.89        0.52   3829.05  \n",
       "112        2.45        0.44   3843.42  \n",
       "113      -22.16        0.34   3870.67  \n",
       "114        8.66        0.68   4123.58  \n",
       "\n",
       "[115 rows x 10 columns]"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\"\"\"\n",
    "date: 日期\n",
    "open: 开盘价\n",
    "close: 收盘价\n",
    "high: 最高价\n",
    "low: 最低价\n",
    "volume: 成交量\n",
    "amount: 成交额\n",
    "amplitude: 振幅\n",
    "change_pct: 涨跌幅\n",
    "change_val: 涨跌额\n",
    "turnover: 换手率\n",
    "\"\"\"\n",
    "\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "complete_data = np.column_stack([data, target])[:, :10] # 拼接数据，由于数据量较大，所以只取前10列\n",
    "columns = [\"open\", \"close\", \"high\", \"low\", \"volume\", \"amount\", \"amplitude\", \"change_pct\", \"change_val\", \"turnover\"]\n",
    "\n",
    "\n",
    "df = pd.DataFrame(complete_data, columns=columns)\n",
    "df\n",
    "\n",
    "\n",
    "# df['date'] = pd.to_datetime(df['date'])\n",
    "# df.set_index('date', inplace=True)\n",
    "# df.to_csv(f'{gupiao_name}-{gupiao_size}.csv', index=False)\n",
    "\n",
    "\n",
    "# data = pd.read_csv(f'{gupiao_name}-{gupiao_size}.csv')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "17e6b327",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 115 entries, 0 to 114\n",
      "Data columns (total 10 columns):\n",
      " #   Column      Non-Null Count  Dtype  \n",
      "---  ------      --------------  -----  \n",
      " 0   open        115 non-null    float64\n",
      " 1   close       115 non-null    float64\n",
      " 2   high        115 non-null    float64\n",
      " 3   low         115 non-null    float64\n",
      " 4   volume      115 non-null    float64\n",
      " 5   amount      115 non-null    float64\n",
      " 6   amplitude   115 non-null    float64\n",
      " 7   change_pct  115 non-null    float64\n",
      " 8   change_val  115 non-null    float64\n",
      " 9   turnover    115 non-null    float64\n",
      "dtypes: float64(10)\n",
      "memory usage: 9.1 KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "e2e2a747",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>open</th>\n",
       "      <th>close</th>\n",
       "      <th>high</th>\n",
       "      <th>low</th>\n",
       "      <th>volume</th>\n",
       "      <th>amount</th>\n",
       "      <th>amplitude</th>\n",
       "      <th>change_pct</th>\n",
       "      <th>change_val</th>\n",
       "      <th>turnover</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>115.000000</td>\n",
       "      <td>115.000000</td>\n",
       "      <td>115.000000</td>\n",
       "      <td>1.150000e+02</td>\n",
       "      <td>1.150000e+02</td>\n",
       "      <td>115.000000</td>\n",
       "      <td>115.000000</td>\n",
       "      <td>115.000000</td>\n",
       "      <td>115.000000</td>\n",
       "      <td>115.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>3247.416696</td>\n",
       "      <td>3275.128870</td>\n",
       "      <td>3216.393739</td>\n",
       "      <td>1.076633e+08</td>\n",
       "      <td>1.538350e+11</td>\n",
       "      <td>1.801652</td>\n",
       "      <td>-0.007565</td>\n",
       "      <td>-1.148435</td>\n",
       "      <td>0.329304</td>\n",
       "      <td>3258.150522</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>1077.657086</td>\n",
       "      <td>1086.133627</td>\n",
       "      <td>1068.129059</td>\n",
       "      <td>8.976957e+07</td>\n",
       "      <td>1.421453e+11</td>\n",
       "      <td>1.298280</td>\n",
       "      <td>1.679152</td>\n",
       "      <td>52.717025</td>\n",
       "      <td>0.274717</td>\n",
       "      <td>1073.726396</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>856.860000</td>\n",
       "      <td>860.950000</td>\n",
       "      <td>854.280000</td>\n",
       "      <td>7.412868e+06</td>\n",
       "      <td>3.676845e+09</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-7.100000</td>\n",
       "      <td>-232.600000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>848.540000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>2539.665000</td>\n",
       "      <td>2555.220000</td>\n",
       "      <td>2508.520000</td>\n",
       "      <td>5.466053e+07</td>\n",
       "      <td>6.046827e+10</td>\n",
       "      <td>0.930000</td>\n",
       "      <td>-0.570000</td>\n",
       "      <td>-18.220000</td>\n",
       "      <td>0.170000</td>\n",
       "      <td>2510.260000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>3366.710000</td>\n",
       "      <td>3390.010000</td>\n",
       "      <td>3339.550000</td>\n",
       "      <td>8.922628e+07</td>\n",
       "      <td>1.101328e+11</td>\n",
       "      <td>1.400000</td>\n",
       "      <td>-0.070000</td>\n",
       "      <td>-1.980000</td>\n",
       "      <td>0.270000</td>\n",
       "      <td>3407.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>3965.345000</td>\n",
       "      <td>3965.695000</td>\n",
       "      <td>3917.975000</td>\n",
       "      <td>1.383883e+08</td>\n",
       "      <td>2.098876e+11</td>\n",
       "      <td>2.085000</td>\n",
       "      <td>0.785000</td>\n",
       "      <td>23.005000</td>\n",
       "      <td>0.425000</td>\n",
       "      <td>3877.240000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>5518.520000</td>\n",
       "      <td>5541.460000</td>\n",
       "      <td>5410.780000</td>\n",
       "      <td>4.903150e+08</td>\n",
       "      <td>6.853650e+11</td>\n",
       "      <td>6.570000</td>\n",
       "      <td>6.680000</td>\n",
       "      <td>164.880000</td>\n",
       "      <td>1.500000</td>\n",
       "      <td>5695.130000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              open        close         high           low        volume  \\\n",
       "count   115.000000   115.000000   115.000000  1.150000e+02  1.150000e+02   \n",
       "mean   3247.416696  3275.128870  3216.393739  1.076633e+08  1.538350e+11   \n",
       "std    1077.657086  1086.133627  1068.129059  8.976957e+07  1.421453e+11   \n",
       "min     856.860000   860.950000   854.280000  7.412868e+06  3.676845e+09   \n",
       "25%    2539.665000  2555.220000  2508.520000  5.466053e+07  6.046827e+10   \n",
       "50%    3366.710000  3390.010000  3339.550000  8.922628e+07  1.101328e+11   \n",
       "75%    3965.345000  3965.695000  3917.975000  1.383883e+08  2.098876e+11   \n",
       "max    5518.520000  5541.460000  5410.780000  4.903150e+08  6.853650e+11   \n",
       "\n",
       "           amount   amplitude  change_pct  change_val     turnover  \n",
       "count  115.000000  115.000000  115.000000  115.000000   115.000000  \n",
       "mean     1.801652   -0.007565   -1.148435    0.329304  3258.150522  \n",
       "std      1.298280    1.679152   52.717025    0.274717  1073.726396  \n",
       "min      0.000000   -7.100000 -232.600000    0.020000   848.540000  \n",
       "25%      0.930000   -0.570000  -18.220000    0.170000  2510.260000  \n",
       "50%      1.400000   -0.070000   -1.980000    0.270000  3407.000000  \n",
       "75%      2.085000    0.785000   23.005000    0.425000  3877.240000  \n",
       "max      6.570000    6.680000  164.880000    1.500000  5695.130000  "
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "ffca3d4b",
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 2000x1500 with 12 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "\n",
    "df.hist(bins=10, figsize=(20, 15))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "7422ff6f",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 绘制各个特征的房价的关系\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']\n",
    "plt.rcParams['axes.unicode_minus'] = False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "34216a39",
   "metadata": {},
   "outputs": [],
   "source": [
    "correlation_marix = df.corr() # corr() 是 Pandas 库中的一个函数，用于计算 DataFrame 中所有列之间的相关系数矩阵。相关系数矩阵是一个对称矩阵，其中每个元素表示两个变量之间的相关系数。相关系数的取值范围为 [-1, 1]，其中 -1 表示完全负相关，1 表示完全正相关，0 表示不相关。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "ea2c8cc6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 可视化相关矩阵\n",
    "plt.figure(figsize=(12, 10)) # 设置图片大小\n",
    "sns.heatmap(correlation_marix, annot=True, fmt=\".2f\", cmap=\"coolwarm\") # 说明：annot=True表示在每个单元格中显示数值，fmt=\".2f\"表示保留两位小数，cmap=\"coolwarm\"表示颜色映射\n",
    "plt.title(\"Correlation Matrix\") # 标题\n",
    "plt.show() # 显示图片\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "2f1a3d63",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "       date     open     high      low     volume        amount  amplitude  \\\n",
      "0    731950   994.77   994.77   980.66    7412868  4.431977e+09       0.00   \n",
      "1    731965   974.33   974.33   965.26    6338091  3.427951e+09       0.93   \n",
      "2    731980  1005.56  1014.19   992.16   16974539  1.005731e+10       2.19   \n",
      "3    732006  1039.35  1042.74  1031.17    9962090  6.288791e+09       1.11   \n",
      "4    732021  1011.85  1012.20   995.97   10622782  7.153746e+09       1.60   \n",
      "..      ...      ...      ...      ...        ...           ...        ...   \n",
      "455  739442  3993.42  4032.98  3992.52  209778904  3.478367e+11       1.01   \n",
      "456  739457  4145.32  4150.50  4117.80  273594963  4.304455e+11       0.79   \n",
      "457  739474  4110.29  4134.25  4103.61  190443716  3.606858e+11       0.75   \n",
      "458  739489  4453.35  4476.80  4435.53  270621395  6.279505e+11       0.92   \n",
      "459  739502  4467.17  4482.76  4438.07  213298875  5.799364e+11       1.00   \n",
      "\n",
      "     change_pct  change_val  turnover  \n",
      "0          0.00        0.00      0.02  \n",
      "1         -0.77       -7.48      0.02  \n",
      "2         -1.36      -13.69      0.05  \n",
      "3         -0.39       -4.06      0.03  \n",
      "4         -1.03      -10.45      0.03  \n",
      "..          ...         ...       ...  \n",
      "455        0.47       18.62      0.64  \n",
      "456       -0.53      -21.88      0.84  \n",
      "457        0.43       17.54      0.58  \n",
      "458       -0.37      -16.63      0.83  \n",
      "459        0.06        2.66      0.65  \n",
      "\n",
      "[460 rows x 10 columns]\n",
      "0       982.79\n",
      "1       967.21\n",
      "2       993.22\n",
      "3      1035.93\n",
      "4      1003.07\n",
      "        ...   \n",
      "455    4010.02\n",
      "456    4127.16\n",
      "457    4122.51\n",
      "458    4452.59\n",
      "459    4462.98\n",
      "Name: close, Length: 460, dtype: float64\n",
      "权重w0：-129.4063018602542\n",
      "系数w1：[ 1.78169244e-04 -1.29591677e-01  8.10622914e-01  3.16928398e-01\n",
      "  1.86128983e-08 -2.91875968e-11 -2.28488506e+00  5.18175830e-01\n",
      "  3.57441777e-01  1.17775038e-03]\n",
      "预测结果：[2845.35357832 1317.92153915 2310.88210542 3947.02870216 2478.38580487\n",
      " 3526.76457135 4097.1883211  3860.46938553 3633.14928031 3690.97818044\n",
      " 3851.61570932 3998.07885838 2977.08421268 4056.69045756 3176.21310519\n",
      " 3464.02040141 2165.95915445 3098.66153155 3898.97680195  989.28176215\n",
      " 4631.76824177 3352.41224573 3299.5610373  1430.36218164 2167.10081103\n",
      " 3402.15766724 3751.40231321 2090.50023765 2983.01099189  906.6769567\n",
      " 3560.21417714 5220.34427914 3955.39588233 3850.23458939 4616.74805442\n",
      " 3837.54017958 3824.72790723 3189.20538734 2790.12201624 3834.14870626\n",
      " 3663.39984454 4171.41027739 2366.01862674 2879.41073133 3381.80248504\n",
      " 3179.55969064 3014.57054772 3358.24531312 3530.25471768 3850.70373135\n",
      " 3185.33442704 2383.94034838 3406.53280888 3468.76002741 1411.89835143\n",
      " 2179.3449625  3722.50914346 4113.7954923  3255.49458453  826.55603168\n",
      " 3946.30980022  953.45801926 2315.25518065 3654.887762   5441.66559146\n",
      "  857.07612403 4817.21323774 3225.72612119 3984.27032553 2435.54013953\n",
      " 4029.45753707 5121.25112735 2053.52698679 3216.17502544 4182.54253167\n",
      " 1044.99406505 2362.62112393 2178.27708964 3531.01820891 1655.68379872\n",
      " 2651.3655656  3783.72680327 3766.05062191 4961.81267449 3371.63304783\n",
      " 3829.02420727  922.88240663 3502.31733607 2317.90898574 3649.81893335\n",
      " 3734.365546   2504.0259265 ]\n",
      "均方误差MSE：331.23543015144315\n",
      "R2系数：0.9996933581849752\n"
     ]
    }
   ],
   "source": [
    "from sklearn.linear_model import LinearRegression # 线性回归模型\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.metrics import mean_squared_error, r2_score\n",
    "\n",
    "df = pd.read_csv('./沪深300-460_date.csv')\n",
    "# 将日期转换为时间戳\n",
    "df['date'] = pd.to_datetime(df['date'])\n",
    "df['date'] = df['date'].map(pd.Timestamp.toordinal)\n",
    "\n",
    "X = df.drop(columns='close', axis=1)\n",
    "y = df['close']\n",
    "print(X)\n",
    "print(y)\n",
    "\n",
    "# 创建线性回归模型\n",
    "model = LinearRegression()\n",
    "\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42) # 随机种子 // 保证每次运行结果一致\n",
    "\n",
    "model.fit(X_train, y_train) # 训练模型\n",
    "print(f'权重w0：{model.intercept_}') # 截距\n",
    "print(f'系数w1：{model.coef_}') # 系数\n",
    "\n",
    "# 模型预测，传入测试集\n",
    "y_pred = model.predict(X_test) # 预测结果\n",
    "print(f'预测结果：{y_pred}')\n",
    "mse = mean_squared_error(y_test, y_pred)\n",
    "print(f'均方误差MSE：{mse}')\n",
    "r2 = r2_score(y_test, y_pred)\n",
    "print(f'R2系数：{r2}')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "d94256a7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(124    2850.83\n",
       " 30     1317.65\n",
       " 199    2303.48\n",
       " 439    3957.78\n",
       " 154    2477.69\n",
       "         ...   \n",
       " 299    3531.11\n",
       " 46     2298.00\n",
       " 101    3667.56\n",
       " 415    3736.65\n",
       " 157    2504.32\n",
       " Name: close, Length: 92, dtype: float64,\n",
       " array([2845.35357832, 1317.92153915, 2310.88210542, 3947.02870216,\n",
       "        2478.38580487, 3526.76457135, 4097.1883211 , 3860.46938553,\n",
       "        3633.14928031, 3690.97818044, 3851.61570932, 3998.07885838,\n",
       "        2977.08421268, 4056.69045756, 3176.21310519, 3464.02040141,\n",
       "        2165.95915445, 3098.66153155, 3898.97680195,  989.28176215,\n",
       "        4631.76824177, 3352.41224573, 3299.5610373 , 1430.36218164,\n",
       "        2167.10081103, 3402.15766724, 3751.40231321, 2090.50023765,\n",
       "        2983.01099189,  906.6769567 , 3560.21417714, 5220.34427914,\n",
       "        3955.39588233, 3850.23458939, 4616.74805442, 3837.54017958,\n",
       "        3824.72790723, 3189.20538734, 2790.12201624, 3834.14870626,\n",
       "        3663.39984454, 4171.41027739, 2366.01862674, 2879.41073133,\n",
       "        3381.80248504, 3179.55969064, 3014.57054772, 3358.24531312,\n",
       "        3530.25471768, 3850.70373135, 3185.33442704, 2383.94034838,\n",
       "        3406.53280888, 3468.76002741, 1411.89835143, 2179.3449625 ,\n",
       "        3722.50914346, 4113.7954923 , 3255.49458453,  826.55603168,\n",
       "        3946.30980022,  953.45801926, 2315.25518065, 3654.887762  ,\n",
       "        5441.66559146,  857.07612403, 4817.21323774, 3225.72612119,\n",
       "        3984.27032553, 2435.54013953, 4029.45753707, 5121.25112735,\n",
       "        2053.52698679, 3216.17502544, 4182.54253167, 1044.99406505,\n",
       "        2362.62112393, 2178.27708964, 3531.01820891, 1655.68379872,\n",
       "        2651.3655656 , 3783.72680327, 3766.05062191, 4961.81267449,\n",
       "        3371.63304783, 3829.02420727,  922.88240663, 3502.31733607,\n",
       "        2317.90898574, 3649.81893335, 3734.365546  , 2504.0259265 ]))"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_test, y_pred"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "6434ae56",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(y_test, y_pred, alpha=0.5) # 绘制预测值和真实值的散点图 // y_test 表示真实值, y_pred 表示预测值\n",
    "plt.xlabel(\"真实值\") # 添加 x 轴标签\n",
    "plt.ylabel(\"预测值\") # 添加 y 轴标签\n",
    "plt.title(\"预测值和真实值的散点图\") # 添加标题\n",
    "plt.plot([min(y_test), max(y_test)], [min(y_test), max(y_test)], 'r--') # 绘制对角线\n",
    "plt.show() # 显示图像"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "30d76fc7",
   "metadata": {},
   "source": [
    "我大概看明白了，你现在是拿一个股票数据表（沪深300）做线性回归，用日期、开盘价、高低点、成交量这些当特征，预测收盘价对吧？\n",
    "\n",
    "你跑出来的结果里：\n",
    "\n",
    "* **MSE 只有 331**（相对几千点的收盘价来说，误差特别小）\n",
    "* **R² 系数 0.9997**（几乎完美拟合）\n",
    "\n",
    "这基本上说明 \\*\\*线性回归已经“过拟合”\\*\\*了。为什么？\n",
    "\n",
    "因为你在训练的时候，用了很多和收盘价高度相关的特征（比如当天的开盘价、高点、低点，几乎和收盘价是强相关的）。模型相当于“看答案抄答案”，当然拟合得特别好，但实际上如果你要预测未来的数据（真正未知的收盘价），它就不一定能保持这么高的准确度。\n",
    "\n",
    "---\n",
    "\n",
    "要进一步学习/改进，可以有几个方向：\n",
    "\n",
    "1. **严格划分时间顺序**\n",
    "\n",
    "   * 不能随机打乱拆分（train\\_test\\_split 会打乱），这样测试集可能包含比训练集还早的数据。\n",
    "   * 股票预测必须用「过去 → 未来」的方式，比如前 80% 数据做训练，后 20% 数据做测试。\n",
    "\n",
    "   ```python\n",
    "   train_size = int(len(df) * 0.8)\n",
    "   X_train, X_test = X[:train_size], X[train_size:]\n",
    "   y_train, y_test = y[:train_size], y[train_size:]\n",
    "   ```\n",
    "\n",
    "2. **减少“泄漏特征”**\n",
    "\n",
    "   * 如果你想预测明天的收盘价，不能用当天的「开盘价、高点、低点」去预测，因为这些数本来就是当天收盘价的函数。\n",
    "   * 更合理的方法是只用「过去的收盘价、成交量、涨跌幅等滞后特征」来预测。\n",
    "   * 举个例子，可以构造 `close(t-1), close(t-2), ...` 作为特征，预测 `close(t)`。\n",
    "\n",
    "3. **尝试非线性模型**\n",
    "\n",
    "   * 股票这种数据往往不是线性的，可以试试：\n",
    "\n",
    "     * `RandomForestRegressor`\n",
    "     * `GradientBoostingRegressor`\n",
    "     * `XGBoost`\n",
    "     * 或者简单的神经网络（MLP）\n",
    "\n",
    "4. **尝试时间序列方法**\n",
    "\n",
    "   * ARIMA、Prophet\n",
    "   * LSTM、GRU 这类循环神经网络\n",
    "\n",
    "---\n",
    "\n",
    "我猜你现在的疑问是：**如果我想用神经网络替换掉这个线性回归，是不是只要把 `LinearRegression()` 换成 `MLPRegressor()` 就行？**\n",
    "\n",
    "答案是：几乎可以。只要注意输入数据要标准化（神经网络训练对数值大小敏感）。\n",
    "\n",
    "要不要我帮你直接把你这份 `LinearRegression` 的代码改成 **MLP 神经网络**的版本？\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "99881cb2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Iteration 1, loss = 5377501.14696864\n",
      "Iteration 2, loss = 5377108.62327309\n",
      "Iteration 3, loss = 5376706.34591609\n",
      "Iteration 4, loss = 5376295.04999931\n",
      "Iteration 5, loss = 5375860.87395796\n",
      "Iteration 6, loss = 5375419.05133950\n",
      "Iteration 7, loss = 5374956.28796807\n",
      "Iteration 8, loss = 5374473.20229450\n",
      "Iteration 9, loss = 5373954.40220788\n",
      "Iteration 10, loss = 5373428.46542244\n",
      "Iteration 11, loss = 5372853.03690882\n",
      "Iteration 12, loss = 5372263.15923881\n",
      "Iteration 13, loss = 5371615.03524480\n",
      "Iteration 14, loss = 5370938.61114209\n",
      "Iteration 15, loss = 5370234.49747850\n",
      "Iteration 16, loss = 5369470.34125909\n",
      "Iteration 17, loss = 5368676.29503956\n",
      "Iteration 18, loss = 5367826.17078367\n",
      "Iteration 19, loss = 5366922.08502170\n",
      "Iteration 20, loss = 5365973.74416742\n",
      "Iteration 21, loss = 5364966.49722544\n",
      "Iteration 22, loss = 5363875.81553897\n",
      "Iteration 23, loss = 5362718.01325232\n",
      "Iteration 24, loss = 5361505.73243219\n",
      "Iteration 25, loss = 5360191.42956958\n",
      "Iteration 26, loss = 5358801.74866545\n",
      "Iteration 27, loss = 5357360.68796219\n",
      "Iteration 28, loss = 5355794.82863014\n",
      "Iteration 29, loss = 5354140.85747360\n",
      "Iteration 30, loss = 5352385.68823640\n",
      "Iteration 31, loss = 5350528.32820208\n",
      "Iteration 32, loss = 5348586.00773513\n",
      "Iteration 33, loss = 5346517.94850109\n",
      "Iteration 34, loss = 5344323.87778500\n",
      "Iteration 35, loss = 5342014.58932995\n",
      "Iteration 36, loss = 5339621.45923728\n",
      "Iteration 37, loss = 5337071.96769271\n",
      "Iteration 38, loss = 5334411.59545844\n",
      "Iteration 39, loss = 5331577.96974011\n",
      "Iteration 40, loss = 5328600.53003956\n",
      "Iteration 41, loss = 5325518.43960407\n",
      "Iteration 42, loss = 5322243.15469659\n",
      "Iteration 43, loss = 5318818.14583598\n",
      "Iteration 44, loss = 5315302.71701883\n",
      "Iteration 45, loss = 5311523.51534779\n",
      "Iteration 46, loss = 5307707.19115643\n",
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      "Iteration 447, loss = 400491.07514403\n",
      "Iteration 448, loss = 399395.40731774\n",
      "Iteration 449, loss = 398218.17587185\n",
      "Iteration 450, loss = 397145.83377174\n",
      "Iteration 451, loss = 395972.64603717\n",
      "Iteration 452, loss = 394865.97313241\n",
      "Iteration 453, loss = 393775.17079447\n",
      "Iteration 454, loss = 392615.32144533\n",
      "Iteration 455, loss = 391498.76774414\n",
      "Iteration 456, loss = 390401.74972397\n",
      "Iteration 457, loss = 389296.47280608\n",
      "Iteration 458, loss = 388216.29772115\n",
      "Iteration 459, loss = 387116.95463312\n",
      "Iteration 460, loss = 385984.31917883\n",
      "Iteration 461, loss = 384872.14382643\n",
      "Iteration 462, loss = 383793.40810875\n",
      "Iteration 463, loss = 382686.33356483\n",
      "Iteration 464, loss = 381584.84721140\n",
      "Iteration 465, loss = 380516.32211907\n",
      "Iteration 466, loss = 379401.32826489\n",
      "Iteration 467, loss = 378325.34081590\n",
      "Iteration 468, loss = 377225.46386052\n",
      "Iteration 469, loss = 376140.86494175\n",
      "Iteration 470, loss = 375061.25616469\n",
      "Iteration 471, loss = 373990.91462861\n",
      "Iteration 472, loss = 372942.93536978\n",
      "Iteration 473, loss = 371814.05830289\n",
      "Iteration 474, loss = 370781.19925969\n",
      "Iteration 475, loss = 369670.15615633\n",
      "Iteration 476, loss = 368613.90174092\n",
      "Iteration 477, loss = 367537.17605358\n",
      "Iteration 478, loss = 366458.59505375\n",
      "Iteration 479, loss = 365408.30989016\n",
      "Iteration 480, loss = 364293.05277387\n",
      "Iteration 481, loss = 363289.69115475\n",
      "Iteration 482, loss = 362221.39468253\n",
      "Iteration 483, loss = 361135.28184476\n",
      "Iteration 484, loss = 360096.78744520\n",
      "Iteration 485, loss = 359034.26824052\n",
      "Iteration 486, loss = 357985.47741313\n",
      "Iteration 487, loss = 356935.18447123\n",
      "Iteration 488, loss = 355925.44506393\n",
      "Iteration 489, loss = 354823.95159660\n",
      "Iteration 490, loss = 353758.96243438\n",
      "Iteration 491, loss = 352732.24116509\n",
      "Iteration 492, loss = 351664.20284526\n",
      "Iteration 493, loss = 350654.45037140\n",
      "Iteration 494, loss = 349610.25510346\n",
      "Iteration 495, loss = 348545.91120136\n",
      "Iteration 496, loss = 347508.20859380\n",
      "Iteration 497, loss = 346456.02784747\n",
      "Iteration 498, loss = 345395.69704508\n",
      "Iteration 499, loss = 344365.40497672\n",
      "Iteration 500, loss = 343340.31748459\n",
      "均方误差MSE：320574.61\n",
      "R2系数：-0.6055\n",
      "预测结果（部分）：[4936.07860861 4592.40928314 5505.67308718 4888.97709697 5036.76417032\n",
      " 5440.32914828 5040.74415218 5711.57474829 5334.91067152 5595.272381  ]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Users\\16673\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\neural_network\\_multilayer_perceptron.py:691: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (500) reached and the optimization hasn't converged yet.\n",
      "  warnings.warn(\n"
     ]
    }
   ],
   "source": [
    "\"\"\"\n",
    "这里做了几个关键改动：\n",
    "数据标准化：神经网络必须做，否则数值差异太大，训练会很慢甚至不收敛。\n",
    "时间序列切分：用前 80% 数据训练，后 20% 测试，更符合股票预测逻辑。\n",
    "MLP 模型结构：两层隐藏层，分别 64、32 个神经元，可以自己调整。\n",
    "训练参数：max_iter=500 保证能收敛，学习率也可以尝试调小或调大。\n",
    "\"\"\"\n",
    "\n",
    "import pandas as pd\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.metrics import mean_squared_error, r2_score\n",
    "from sklearn.neural_network import MLPRegressor\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "\n",
    "# 读取数据\n",
    "df = pd.read_csv('./沪深300-460_date.csv')\n",
    "\n",
    "# 将日期转为时间戳数值\n",
    "df['date'] = pd.to_datetime(df['date'])\n",
    "df['date'] = df['date'].map(pd.Timestamp.toordinal)\n",
    "\n",
    "# 特征和目标\n",
    "X = df.drop(columns='close', axis=1)\n",
    "y = df['close']\n",
    "\n",
    "# 数据标准化（神经网络很敏感，一定要做）\n",
    "scaler = StandardScaler()\n",
    "X_scaled = scaler.fit_transform(X)\n",
    "\n",
    "# 按时间顺序划分训练/测试集（避免未来数据泄漏到训练中）\n",
    "train_size = int(len(df) * 0.8)\n",
    "X_train, X_test = X_scaled[:train_size], X_scaled[train_size:]\n",
    "y_train, y_test = y[:train_size], y[train_size:]\n",
    "\n",
    "# 定义 MLP 神经网络\n",
    "model = MLPRegressor(\n",
    "    hidden_layer_sizes=(64, 32),  # 两层隐藏层，64 和 32 个神经元\n",
    "    activation='relu',            # 激活函数 ReLU\n",
    "    solver='adam',                # 优化器 Adam\n",
    "    learning_rate_init=0.001,     # 学习率\n",
    "    max_iter=500,                 # 最大迭代次数\n",
    "    random_state=42\n",
    "    ,verbose=True\n",
    ")\n",
    "\n",
    "# 训练模型\n",
    "model.fit(X_train, y_train)\n",
    "\n",
    "# 预测\n",
    "y_pred = model.predict(X_test)\n",
    "\n",
    "# 评估\n",
    "mse = mean_squared_error(y_test, y_pred) # MSE 均方误差数学描述：预测值和真实值之间的差异的平方 y=预测值-真实值 ** 2\n",
    "r2 = r2_score(y_test, y_pred) # R2 系数数学描述：预测值和真实值之间的差异的比例 1-（预测值和真实值之间的差异的平方和）/（真实值和真实值的平均值的差异的平方和）\n",
    "\n",
    "print(f'均方误差MSE：{mse:.2f}')\n",
    "print(f'R2系数：{r2:.4f}')\n",
    "print(f'预测结果（部分）：{y_pred[:10]}')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "0889bb9e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(y_test, y_pred, alpha=0.5) # 绘制预测值和真实值的散点图 // y_test 表示真实值, y_pred 表示预测值\n",
    "plt.xlabel(\"真实值\") # 添加 x 轴标签\n",
    "plt.ylabel(\"预测值\") # 添加 y 轴标签\n",
    "plt.title(\"预测值和真实值的散点图\") # 添加标题\n",
    "plt.plot([min(y_test), max(y_test)], [min(y_test), max(y_test)], 'r--') # 绘制对角线\n",
    "plt.show() # 显示图像"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4377b5f0",
   "metadata": {},
   "source": [
    "不是你设置的 🙂，出现 10 个结果是因为我在代码最后写了：\n",
    "\n",
    "```python\n",
    "print(f'预测结果（部分）：{y_pred[:10]}')\n",
    "```\n",
    "\n",
    "这里的 `y_pred[:10]` 只是**截取预测结果的前 10 个样本**来展示，方便你看。\n",
    "实际上 `y_pred` 里面的结果数量 = 测试集的样本数量 (`X_test.shape[0]`)。\n",
    "\n",
    "---\n",
    "\n",
    "所以：\n",
    "\n",
    "* 如果你的测试集有 92 天（比如总共 460 天，训练 368 天，测试 92 天），那么 `y_pred` 其实就是 92 个预测结果。\n",
    "* 我只是用了 `[:10]` 让输出简短，不然一长串结果会刷屏。\n",
    "\n",
    "---\n",
    "\n",
    "如果你想看到所有预测值，可以直接打印：\n",
    "\n",
    "```python\n",
    "print(y_pred)\n",
    "```\n",
    "\n",
    "如果你只想预测**下一天的收盘价**，就不能直接用 `train_test_split`，需要写一个「滑动窗口」或者「递归预测」的方法，让模型根据最近几天的特征去预测未来一天。\n",
    "\n",
    "要不要我给你写一个「专门预测下一天收盘价」的神经网络版本？\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "939cc786",
   "metadata": {},
   "source": [
    "很好，这里我们就把「思路」讲清楚：为什么现在的代码预测一大堆，而你想要的是“下一天收盘价”。\n",
    "\n",
    "---\n",
    "\n",
    "### 1. 为什么现在是多个预测值？\n",
    "\n",
    "因为你用了 `train_test_split`：\n",
    "\n",
    "* 它把数据分成训练集（比如 80%）和测试集（20%）。\n",
    "* 模型训练好后，对**测试集里的所有样本**都进行预测。\n",
    "  所以预测结果自然有几十个、上百个。\n",
    "\n",
    "---\n",
    "\n",
    "### 2. 如果只想预测「下一天收盘价」该怎么做？\n",
    "\n",
    "要让模型学会“根据过去的数据预测未来”，思路是这样的：\n",
    "\n",
    "**核心：滑动窗口（Window）**\n",
    "\n",
    "* 用最近 N 天的特征 → 预测第 N+1 天的收盘价。\n",
    "* 例如：\n",
    "\n",
    "  * 输入：\\[3900, 3910, 3920] → 输出：3930\n",
    "  * 输入：\\[3910, 3920, 3930] → 输出：3940\n",
    "\n",
    "这样模型学的就是「连续时间序列」的规律。\n",
    "\n",
    "---\n",
    "\n",
    "### 3. 实现步骤\n",
    "\n",
    "1. **准备数据**\n",
    "   把原始收盘价序列 `[3911, 4006, 3996, 4007, …]` 转换成「输入窗口 + 输出」对。\n",
    "\n",
    "   * 输入窗口大小可以设 5 天、10 天等。\n",
    "   * 例如窗口大小 = 5：\n",
    "\n",
    "     * X1 = \\[3911, 4006, 3996, 4007, 4010]，y1 = 4020\n",
    "     * X2 = \\[4006, 3996, 4007, 4010, 4020]，y2 = 4035\n",
    "\n",
    "2. **划分训练和测试集**\n",
    "   不用 `train_test_split` 随机划分，而是用**前 80% 时间做训练，最后 20% 时间做测试**。\n",
    "   因为时间序列不能乱打乱。\n",
    "\n",
    "3. **建模**\n",
    "\n",
    "   * 可以用神经网络（MLPRegressor 或 keras/tf）\n",
    "   * 输入是「过去 N 天的收盘价」，输出是「下一天收盘价」。\n",
    "\n",
    "4. **预测**\n",
    "\n",
    "   * 模型训练好以后，把最近 N 天的收盘价作为输入，预测未来 1 天。\n",
    "   * 如果想预测多天，就用「递归预测」：预测明天 → 把预测值加到数据里 → 预测后天 → …\n",
    "\n",
    "---\n",
    "\n",
    "### 4. 整体逻辑图\n",
    "\n",
    "```\n",
    "原始序列: [3911, 4006, 3996, 4007, 4010, 4020, …]\n",
    "\n",
    "↓ 构造窗口\n",
    "X = [[3911, 4006, 3996, 4007, 4010],\n",
    "     [4006, 3996, 4007, 4010, 4020],\n",
    "     ...]\n",
    "y = [4020, 4035, …]\n",
    "\n",
    "↓ 训练模型\n",
    "输入: X (过去N天) → 输出: y (下一天)\n",
    "\n",
    "↓ 预测\n",
    "最近N天输入模型 → 预测未来收盘价\n",
    "```\n",
    "\n",
    "---\n",
    "\n",
    "要不要我帮你写一个**滑动窗口+神经网络**的完整代码，你只要把你的收盘价 `df['close']` 塞进去，就能直接跑出来预测「下一天收盘价」？\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "0476caea",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "364 91\n",
      "364 91\n",
      "MLPRegressor(hidden_layer_sizes=(64, 32), max_iter=1000, random_state=42,\n",
      "             verbose=True)\n",
      "Iteration 1, loss = 6623150.27718970\n",
      "Iteration 2, loss = 5683819.74843681\n",
      "Iteration 3, loss = 4840240.95648641\n",
      "Iteration 4, loss = 4077134.47699016\n",
      "Iteration 5, loss = 3501504.94184522\n",
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      "Iteration 7, loss = 2639779.63986517\n",
      "Iteration 8, loss = 2260414.39220743\n",
      "Iteration 9, loss = 1926478.25073614\n",
      "Iteration 10, loss = 1625231.20208631\n",
      "Iteration 11, loss = 1352472.52679318\n",
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      "Iteration 15, loss = 565325.34933557\n",
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      "Iteration 39, loss = 54490.51036941\n",
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      "Iteration 42, loss = 53347.40909999\n",
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      "Iteration 55, loss = 48727.07935275\n",
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      "Iteration 57, loss = 47923.41283994\n",
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      "Iteration 61, loss = 46511.64617645\n",
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      "Iteration 64, loss = 45517.11703680\n",
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      "Iteration 372, loss = 20459.25644147\n",
      "Iteration 373, loss = 20411.65673541\n",
      "Training loss did not improve more than tol=0.000100 for 10 consecutive epochs. Stopping.\n",
      "均方误差: 24926.71\n",
      "R2 系数: 0.8701\n",
      "预测下一天的预测收盘价: 4509.40\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "from sklearn.neural_network import MLPRegressor          # MLP 多层感知机回归器\n",
    "from sklearn.metrics import mean_squared_error, r2_score # 均方误差，R2 系数\n",
    "\n",
    "df = pd.read_csv('./沪深300-460_date.csv')\n",
    "\n",
    "# 将日期转换为时间戳\n",
    "df['date'] = pd.to_datetime(df['date']) # 将日期列转换为日期时间格式\n",
    "df['date'] = df['date'].map(pd.Timestamp.toordinal) # toordinal() 将日期转换为时间戳\n",
    "\n",
    "# print(df.head())\n",
    "\n",
    "# ========= 1. 构造数据 =========\n",
    "# 假设你已经有收盘价序列\n",
    "# 例如：df = pd.read_csv('沪深300.csv')\n",
    "# 收盘价放在 close 列\n",
    "close_prices = df['close'].values\n",
    "# print(close_prices)\n",
    "\n",
    "# 滑动窗口大小（比如用过去 5天 预测第 6天）\n",
    "windows_size = 5\n",
    "\n",
    "X, y = [], []\n",
    "for i in range(len(close_prices) - windows_size):\n",
    "    X.append(close_prices[i:i+windows_size]) # 输入：过去 5天\n",
    "    y.append(close_prices[i+windows_size]) # 输出：第 6天\n",
    "\n",
    "\n",
    "# 转换为numpy数组用于训练\n",
    "X = np.array(X)\n",
    "y = np.array(y)\n",
    "\n",
    "# ========= 2. 划分训练/测试集 =========\n",
    "# 用前 80% split 训练集，后 20% 测试集\n",
    "split_index = int(len(X) * 0.8)\n",
    "X_train, X_test = X[:split_index], X[split_index:]\n",
    "y_train, y_test = y[:split_index], y[split_index:]\n",
    "\n",
    "print(len(X_train), len(X_test))\n",
    "print(len(y_train), len(y_test))\n",
    "\n",
    "# ========= 3. 建立神经网络模型 =========\n",
    "model = MLPRegressor(\n",
    "    hidden_layer_sizes=(64, 32), # 两层隐藏层，每层 64 个神经元，32 个神经元，输入层64 输出层32\n",
    "    activation='relu',\n",
    "    solver='adam',\n",
    "    max_iter=1000,\n",
    "    random_state=42,\n",
    "    verbose=True # 显示训练过程\n",
    ")\n",
    "print(model) # 查看模型参数\n",
    "\n",
    "# 训练\n",
    "model.fit(X_train, y_train)\n",
    "\n",
    "# ========= 4. 测试集评估 =========\n",
    "y_pred = model.predict(X_test) # 用测试集输入预测输出\n",
    "\n",
    "mse = mean_squared_error(y_test, y_pred)\n",
    "r2 = r2_score(y_test, y_pred)\n",
    "\n",
    "print(f'均方误差: {mse:.2f}')\n",
    "print(f'R2 系数: {r2:.4f}')\n",
    "\n",
    "# ========= 5. 预测未来一天 =========\n",
    "last_window = close_prices[-windows_size:] # 最近的 5 天\n",
    "next_day_pred = model.predict([last_window])\n",
    "print(f'预测下一天的预测收盘价: {next_day_pred[0]:.2f}')\n",
    "\n",
    "# print(y_test, y_pred) # 查看测试集的真实值和预测值\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "30c91095",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(y_test, y_pred, alpha=0.5) # 绘制预测值和真实值的散点图 // y_test 表示真实值, y_pred 表示预测值\n",
    "plt.xlabel(\"真实值\") # 添加 x 轴标签\n",
    "plt.ylabel(\"预测值\") # 添加 y 轴标签\n",
    "plt.title(\"预测值和真实值的散点图\") # 添加标题\n",
    "plt.plot([min(y_test), max(y_test)], [min(y_test), max(y_test)], 'r--') # 绘制对角线\n",
    "plt.show() # 显示图像"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "ca28a21f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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rva42kyZN4rHHHvPYdvXVVx/T9Vx88cU8+eSTZGVl+WyP9tZbb9GuXTv69evHAw88wIoVK+jYsSNgtpBr164dDoejTteRk5Pj9QOJwYMHs2LFCq+vsdvt+Pv7s3z5crp3705ERARgztxfcMEFZGdne2QmuL6vS0tLvc68z549mwsvvNBrNoOIiJwY9BNeRESanQMHDrh7pY8ZMwbA3T6s6s0VtLdq1QqbzcaoUaMAGDVqFIWFhZSVlVVLw37ttdeIjo7mwIEDFBQUuLcXFxeTn5/vtSJ5VWeccQYWi8Xj5mppdrSuvfZavvjiC5YsWUKHDh3o16+fe9/GjRt59NFHOfPMM3nsscdYvnw5w4cP91gn/UfExMQQFhbG3Llz3R90BAcHc84553is1y8uLmbOnDlMmjSJ+Ph4HnvsMRYvXsy5557L3LlzueKKK+jSpQvFxcVHHbhPnTq12tfyv//97zFdT//+/Tn11FPd7daqSk9PZ9GiRUyePJmuXbty1113sXjxYs455xz+9a9/ceuttxIbG1un69i7dy9Dhw5l0aJFHtuLioo466yzWLlyJbm5ueTl5WG32937r776avz8/BgyZAiRkZHua77gggsAc8165a+FzWYjJCSEd955p9oYfvvtN956661q3Q9EROTEosBdRESanTZt2rBr1y7S09M5ePAgmZmZ/Pe//+WDDz4gMzPTffvHP/7BBx98QHp6OgcOHGDfvn3Mnz8fMIOf4OBgj7XdTqeT559/nvvvv58333yTf/7zn3Tr1o133nkHh8NBQEAAYWFhXmcuq6aN19cad4Dzzz+fjIwMXnnlFY80eTA/sHjhhRd4/PHH+emnn/jPf/5DcnJynT5cqIvvv/8ePz8/vvrqKyZMmMC4ceNISkriu+++85ixnjVrFlarlb/+9a+AWXPg008/5fTTT+euu+7i1ltvBWDmzJksXry4xves+rWszzXuAK+//jrz5s3zGug+99xznHzyye4PfJYvX87PP/9Mjx49GD9+PNOmTQPM6vGV09Urc9UjuO666+jWrRunnHIKO3fuJCUlhQEDBvD0009z/vnnExoayocffsjatWsZOXIkeXl5gNmRwHWdDoeDBx54gJiYGGbPno3NZuPHH38kMjKSJ598kuLiYvex48eP9xjH4cOHueaaa/i///s/hg8ffsxfLxEROQ4YIiIizdiyZcuMSy65xLBarcb1119v2O12wzAMo6yszHjggQeMmJgYo3Xr1saUKVOM9PR0r+c4cOCA8frrrxs9e/Y0IiMjjY8//tgwDMPYv3+/MWnSJCMoKMjo06eP8cUXX3h9/XnnnWdMnDjR+O2334xt27YZgPHRRx8Z27dv97i1atXKmDNnjrFhwwajqKjoqK7z5ptvNgBj69at1fZ98cUXxpAhQ4zQ0FCjdevWxo033mjk5eXV+dzZ2dnGypUrjRtuuMG4/PLLPfa98847RkhIiPHKK68YhmEYS5YsMTp27Gjccsst7ms4cOCA0bp1a+ORRx5xv+66664zevbsaZSVlRkLFy40AGPevHnu/bt37zYAIyUlxeP9nnrqKaN///7G3r17jd9++80YOnSocd9991X7Wo4ePdq4++67jS1bthgHDx6s87W6LFq0yAgKCjJefvll97bk5GQjICDAeOuttwzDML+HTjvtNOO8884zDMMwXn/9dcNqtRrLly93v2bJkiVG1T+Xvv32WwMwrrnmGiM5Odnw9/c3QkNDjeuuu86YPXu2kZaWZhiGYTz88MNG+/btjXvuuccIDQ01ysrK3OfIzs423n33XaN3795G586djXXr1hlJSUmGzWYzDMMw1q1bZ3Tr1s3o0KGD8dhjjxlr1qwxnE6n+/X79u0zevToYVx00UVGcXHxUX99RETk+KLAXUREmqXdu3cbJ598shETE2Pcf//9xo4dO7weZ7fbjRdffNGIjo42hg4d6hEcPfXUU8bQoUMNm81mhIaGGnfffbexb9++audISUkxLrjgAgMwrrvuumr7zzzzTOP22283TjnlFCMsLMyIjIz0eQsPDzcCAwN9jrcp5ObmGhEREUbv3r2NZcuWGYZhGIcOHTJOPfVUo1WrVsZ//vMfj+MPHDhgDBo0yLjkkksMwzCMxYsXG2FhYcbu3bsNwzCMl19+2QCMRYsWuV/zl7/8xejfv79hGIbxwQcfGGeffbYBGIcPH/Y497Rp04wePXoY9913nxESEmJERET4/FpGREQYwcHBxuzZs4/pun/88Ufjs88+cz//17/+ZURHRxtHjhwxDMMwJk6caAQEBBjr1693H3PmmWcal112mWEYhvHqq68aQ4cONSIiIjzOu2/fPmPChAnu77Vvv/3WKCgoqPb+ubm5RufOnQ3AuPrqq93b77jjDsPf39+wWq3GbbfdZmRlZRmGYRjfffedAbgDdLvdbrzwwgtGfHy8ARgTJ050n+PIkSPGE088YZSUlBzT10ZERI4vFsOokq8mIiLSTKxfv55evXq5+2XXJDc3F7vdTlxcnHvbtm3beOKJJ7j00ku55JJLam2X9e9//5uOHTty1lln/dGhHxd++uknunTp4rUFXH5+PtnZ2e6ibRkZGe7j5s+fT3JysjutHMwq8KWlpbRt25bvvvuOV155hXHjxnHNNdc0zsXUkes6DMPgjTfewGq1cvvtt7v3p6Sk0Lp1ayIiIvj3v//NggULGD9+POeee+4xvd/evXt59913ufXWW93V97/88ku++eYbxo8fz8knn+w+9ssvv+Tiiy8mKyuLVq1aubeXlpby+eefM3LkSNq0aXOMVy4iIsczBe4iIiIiIiIizZiK04mIiIiIiIg0YwrcRURERERERJoxBe4iIiIiIiIizZgCdxEREREREZFmTIG7iIiIiIiISDPm19QDaA6cTif79+8nPDwci8XS1MMRERERERGRE5xhGOTn59O2bVus1prn1BW4A/v376dDhw5NPQwRERERERFpYVJTU2nfvn2NxyhwB8LDwwHzCxYREdHEoxEREREREZETXV5eHh06dHDHozVR4A7u9PiIiAgF7iIiIiIiItJo6rJcW8XpRERERERERJoxBe4iIiIiIiIizZhS5UVERERERFogp9NJSUlJUw/jhOXv74/NZquXcylwFxERERERaWFKSkpISUnB6XQ29VBOaFFRUcTHx//htuMK3EVERERERFoQwzBIT0/HZrPRoUOHWnuIy9EzDIPCwkIOHjwIQEJCwh86nwJ3ERERERGRFqSsrIzCwkLatm1LSEhIUw/nhBUcHAzAwYMHiY2N/UNp8/poRUREREREpAVxOBwABAQENPFITnyuD0ZKS0v/0HkUuIuIiIiIiLRAf3TdtdSuvr7GCtxFREREREREmjEF7iIiIiIiInLcKi4uPqrq+Glpadxwww0UFBTU6fisrCyP5yUlJRw5cuSoxvhHKXAXERERERGR40JpaWm1IP0vf/kLzz77rMe2srIy91r+qmJjY/nuu+/46KOPan0/u91Oly5d+Pzzz93bfvzxR9q0aUNRUdExXMGxUVV5EREREREROWoOp8HqlCwO5tuJDQ9iaGI0NmvDrpufMmUKy5Ytw9/f371tzZo1bNu2jS+//NK9raSkhMcee4xLL72U2267jW+++cbjPHl5edx777088cQTHttnzZrFhRde6H6+YMECYmNjOXz4MB06dMBms2G32yktLaVnz56A+SHBI488wh133NEQlwwocBcREREREZGjtHhzOjMWJpOea3dvS4gMYvqYXozu88d6ltfkhRdeAOA///kPhmEAcOeddzJu3DjatWsHQFBQEJdffrn7NTk5Odxyyy089thjHudKSUmhTZs2hIWFAdC+fXuP6u+GYfDkk09y9913M27cOMaNG4efnx9z587l9ddfZ9WqVYCZBdDQhf6UKi/HFYfTYOXOw3y+Po2VOw/jcBpNPSQRERERkRZl8eZ0Jsxd6xG0A2Tk2pkwdy2LN6c3+BhuvPFGtm7dyqFDh5gxYwaBgYEcOnSINWvWcPfdd3scO2LECPr27ct3333HRRddRFpaGgAvv/wyY8eOdR935513kpiY6H7+r3/9i02bNhEfH4+fnx/Tp09n8ODBPProo/z2228MHjyYwYMH8/nnn+Pn17Bz4ppxl+NGrZ/qJT0DVhuMnFz9xUtngtMBo6Y04ohFRERERJo/wzAoKvW+Hrwqh9Ng+oIteJs+MwAL8PiCZE7rGlOntPlgf9sxzVYHBQXx4YcfVutFX1RURGBgoMe2++67D4fDQXFxMYsXL6Zv377MmTMHgM6dO7uPmzKlIlbYvXs3kyZNIi4uzr0tNTWVW265hfHjx7u3jR8/nry8vKMe/9FS4C7HBdenelV/QLg+1Zs1dhCjrTZIesrcUTl4XzrT3D7q0UYbr4iIiIjI8aKo1EGvaV/Xy7kMICPPTt/Hv6n1WIDkv11ASMCxhaV//vOfiYmJ8di2e/du/ve//3lsKy4uZvjw4dx///288MILnHbaaXTo0IGioiK6d+/u9dz/+9//uOSSS8jJyXFvs1qtTJs2zZ2uD5CZmcnw4cOPafxHQ4G7NHsOp8GMhck1fqo3Y2Ey5z30IDYwg3RnGXQYBqm/wNJnzKDd20y8iIiIiIgcl4qLi7HbPdP1S0pKqh0XGBjIQw89xIQJE1izZg1///vfAcjIyODcc8/1eu6JEydSWFjItdde67H9b3/7W7UZ98agwF2avdUpWdXWz1RmAOm5dlanZDHCFZy7Zt5BQbuIiIiISA2C/W0k/+2COh27OiWL/3v3l1qPe++mIQxNjK7Tex+r//73v15T5Sun3jscDkpLS7n22msZOHAg69atc+9LS0ujQ4cO7uelpaWUlZURHByMxWIhNDS02ns+8cQTvP766+7n+/fv14y7CMDBfN9Bu9fjRk6GpKfBNUd/2r0NMi4RERERkROBxWKpc7r6Gd3akBAZREau3WtGrAWIjwzijG5t6r01nNPpxOFwuFvBffnll3Tt2tXjmFWrVrkLzpWUlLBy5UpGjx5NUFAQNpv5IcFdd91FaWkpR44c4dJLL3W/tri4mIEDB/Ljjz/6HMPUqVM14y7iTWx40NEdt+Q5qPxj5LPb4U/v1v/ARERERERaGJvVwvQxvZgwdy0WPP7qxhWmTx/Tq0H6uX/33XdcccUV2Gw2rFYrgwcP9nlsREQEpaWlrFmzhqKiIo99TqeT6667jrZt23LDDTcwYMAAj77wNWmqGXe1g5Nmb2hiNAmRQfj6r2/BrC4/NDHaLES35GnPA7Z8am4XEREREZE/bHSfBGaNHUR8pOcEW3xkkFk0uoH6uJ9//vkUFBSQl5dHWloakyZNYtq0aeTk5JCTk8PMmTP5v//7P7766ivy8vIoKiqid+/eHufYsGED5513Hjk5OUyfPp3bbruN3r17M3/+fK/v6XA4KCkpcfd3nzp1Kps3b3bfrrnmGsCcrW9IFsPVtb4Fy8vLIzIyktzcXCIiIpp6OOKFr6ryYAbus8YOYvThOeba9r5/gk2fQGgbKMgsP8LQWncREREREcBut5OSkkJiYiJBQXXLbvXG4TRYnZLFwXw7seHmRFpDzLRXtnXrVt577z3mzJnDOeecw5QpU+jZsydgVnifM2cOL7zwAgkJCbz++usMHz6c7777jtWrV/PZZ5+xc+dOHnjgAR566CH8/PwwDIMPP/yQBx98kI4dO/KPf/yDU045xf1+55xzDqeffjpvvvkmgYGBXlvXOZ1O/Pz82LVrV7V9NX2tjyYOVaq8HBdG90ngnzcM4s4P1+KsFL3bLPD6n8s/1UtymMG567OorudCTirsWQ6JI80+7iIiIiIiUi9sVgsjurRu1Pe02+3ExcWxfv162rRp47GvTZs23H///YwfP57Zs2fTp08fLBYLe/bsYe3atdx7771cfvnlhIWFuV9jsVi44YYbuOSSS5g2bZp7HbzL999/D8CMGTMa/uJqoBl3NON+vDiQZ2fY099jtcCTl/fh8QXJlDicLLjrNPq1j6o4cN6fYdsiuOAZCIk217hHdYJ71oNVq0NEREREpGWrrxl3qV19zbgripHjxpb9uQB0jQ3jz8M6cV7vOAAWbUz3PDBjo3mf0A96XgqBEZCzB3b7rg4pIiIiIiLSXClwl+PGlrQ8AHq3jQTg4r5m0YsvNqbjThwpzILcVPNxfF8ICIG+V5vP185p1PGKiIiIiIjUBwXuctzYst8VuJtpJKN6xBLsbyMtp4iN+8zZePdse6tECDIDfAb+xbz/bSEUZTfmkEVERERERP4wBe5y3NiSbgbnvcoD9+AAG+f0jAVg0abydPn0DeZ9Qr+KF7YdCHF9wFEMGz9ptPGKiIiIiIjUBwXuclzILSolNasIgN4Jke7trnT5Ra50+fTyGff4SoG7xVIx677u340yXhERERERkfqiwF2OC8nlafLtooKJDPF3bz+rRywhAWa6/IZ9uZUK0w3wPEG/a8AWABmbYP/6xhm0iIiIiIg0uMLCQsrKyjy2OZ1OCgsLASgoKKjTefbt28eWLVuqbc/KyvJ4XlJSwpEjR45xtMdGfdzluOCqKO9a3+5ipsvHsXDDfr5Zt4MBh7abOyqnyoPZFq7nGNj8X1j7b2g7oBFGLSIiIiIi9Sk+Pp7IyEiCg4PJzc3lT3/6E+vXryctLY0jR46QnZ3NSSedhMPhoHXr1vzwww8MGzaMyy67jCeeeIJnn30Wp9PpPl/fvn257LLLAPjvf//LL7/8wty5c9377XY7Xbp04b333nMf9+OPPzJmzBiysrIIDg5ulOtW4C7HheT9nhXlK7u4bzwLN+xn5+bVgAFh8RAWW/0kA/9iBu6b5sMFT4F/4/wnExERERE5oSQ9A1YbjJxcfd/SmeB0wKgpDfLWGRkZAOzcuZMRI0Zw00030bNnTwDefvttli1bxr//7bk89rPPPuPqq6/m4osv5tlnn+Wll14CYMWKFezdu5d27dqxd+9eAgMD8fPzDJEXLFhAbGwshw8fpkOHDthsNux2O6Wlpe73LSsr45FHHuGOO+5okGuGJkyVv+eee7BYLO5b165dAdi8eTNDhgyhVatWPPjggxVtvoClS5fSs2dPYmJi3F9sl/nz59OpUyfatm3LvHnzGvVapOFVrShfmStdPrZgm7mh6my7S+JIiOoIxbmQvKChhioiIiIicmKz2iDpKTNIr2zpTHO71dZgb11QUMDEiRN54IEHePrpp93BM8CBAwfccWVl3bp1Y+3atZx66qkEBARwxRVXEBERwZlnnonVamXjxo0sWrSo2usMw+DJJ5/k7rvvZty4caSkpLB7925eeOEFBg8ezO7du9m9ezcpKSncdtttDXbN0ISB+5o1a1i0aBHZ2dlkZ2ezbt06iouLGTNmDKeccgpr1qwhOTmZ9957D4DMzEwuvfRSrr/+elauXMkHH3xAUlISYAb7N9xwA1OnTuXrr79m2rRpbNu2rakuTeqZvdTBjkxzDUnvdtUD9yB/G+f2jKO3Zbe5IaG/9xNZrTBgrPl4nXq6i4iIiIgAYBhQUlD324g74cwHzSD9hyfNbT88aT4/80Fzf13PVWmiti4CAgLIyMjgxx9/ZOxY82/7ZcuW0blzZ958803effdd+vTpw0knncQnn3zCrl27mDLFc/Y/NzeXW2+91f3carVisViqvde//vUvNm3aRHx8PH5+fkyfPp3Bgwfz6KOP8ttvvzF48GAGDx7M559/Xm2mvr41Sap8WVkZW7Zs4cwzzyQsLMy9/X//+x+5ubm89NJLhISE8PTTT3PnnXdy00038cEHH9C2bVumTp2KxWJh2rRpvPPOO4waNYrZs2czatQobrnlFgDuuusu5syZw5NPPtkUlyf1bFtGPg6nQXRoAPERQV6PuahvAu1/2w2AM66v70+kBvwZljwDu5dB1i6IPqlBxiwiIiIictwoLYSn2x7ba3983rz5el6bR/ZDQGidDnU4HDidTj744AMef/xxd3a2xWKhc+fOLFmyhF9++YV+/fpx880343Q6CQ4OJikpicsuu4zPPvsMAH9/fyIjqy/BrWz37t1MmjSJuLg497bU1FRuueUWxo8f7942fvx48vLy6n69x6hJZtw3bdqE0+lkwIABBAcHM3r0aPbu3cuGDRsYPnw4ISEhAPTr14/k5GQANmzYwKhRo9yfhAwdOpRff/3Vve/ss892n7/yPm+Ki4vJy8vzuEnzVTlN3tsnYQBndY2khyUVgGQSfZ8sqgN0Kf9eWTfX93EiIiIiItKsrFu3jr59+9KzZ09efPFFhgwZgs1mc1ePNwyDYcOGuavI22w2EhIS+Pbbbzn77LPx9ze7UzkcjlqLyv3vf//jkksuYfDgwe5tVquVadOm0bVrV/dt3rx5WK0NH1Y3yYx7cnIyPXr04LXXXiMmJob77ruP2267jd69e5OYWBF0WSwWbDYb2dnZ5OXl0atXL/e+iIgI9u/fD0BeXp7H6yrv8+aZZ55hxowZDXBl0hBcFeV7eVnf7hKUvR0sDnKNED7bZaNP7xpOOOgvsPN7WP8hnPUI2FSjUURERERaMP8Qc+b7aC1/2ZxdtwWAo8RMkz/9vqN/7zoaPHgwv//+O1u3buW6667j448/5qqrriIiwowTCgsLiYiIIDo62uN14eHhXHbZZRiGgcPh4ODBg7Rp0wYwg3hvJk6cSGFhIddee63H9r/97W/VZtwbQ5PMuN9www2sWbOGESNG0K1bN/75z3/y7bff4nQ6CQwM9Dg2KCiIwsJC/Pz8PPa5tgM17vNmypQp5Obmum+pqan1fIVSn7bUUFHerbx/+xZnZ77cnIHTWcNamR4XQXA05KfDju/qc6giIiIiIscfi8VMVz+a28p/mEH7qEdhaqZ5/+Pz5vajOY+PjNq6iIuLY968ee6U+czMTNq2rUj5r9z27dprr+X999+nqKiI5ORk93F2ux2n01ktgLdYLISGVk/hf+KJJ+jTp4/79vHHHx/z+I9GkxWnqyw2Nhan00l8fDyZmZke+/Lz8wkICCA6Otpjn2s7UOM+bwIDA4mIiPC4SfPkcBpszfBdUd4tfQMAv1sTSc+1sy41x/exy16C1uXVJqsWqVs602xvISIiIiIi3rmqx496tKIl3MjJ5nNv1eYbSGRkJH369KG4uBiA1atXe1SZt9vtAPz000/s3buXP/3pT+zZs4dFixYxbNgwhg8fzuzZsykrK6OkpKRO7zl16lQ2b97svl1zzTX1f2FeNEng/uCDD/Lhhx+6n69cuRKr1Urfvn1ZuXKle3tKSgrFxcVER0czZMgQj33r1q2jXbt2ADXuk+Pbrswj2EudhATYSGxdQ9GKdHPG3dbWrCi/aGO672OtNti32nz8+2I4ctB83AjtK0REREREjntOh2fQ7uIK3p3e088bSv/+/Xn55Zf5xz/+wUUXXcR//vMfXnjhBa644goApk+fzuTJkwkNDSUvL48vvviCuLg4Ro4cyf79+7ntttv44IMP6vReLWrGvX///jz22GN8//33fPPNN4wfP55x48Zx/vnnk5eXx7vvvgvA008/zbnnnovNZuPSSy/lp59+4rvvvqO0tJSZM2dywQUXAHDVVVfx0UcfsWnTJo4cOcKrr77q3ifHN1eafM+ECKxWH2k0Ticc2AzASX1PBeCrzem+0+VdP1AAnGWwYZ73Tw1FRERERKS6UVN8/808crK5v4Hk5eWxf/9+j/Zr4eHhvPvuu5SUlHDllVfy73//m1tvvRWHw8G7777LmjVrGD9+PGVlZdx5553ccsstjB07lltuuYUbbrgBh8NBcXExBw4cqFYM2+FwUFJSQmlpKeB7xt01699QmqQq19ixY9myZQtXXXUVNpuNsWPH8vTTT+Pn58fs2bO5/vrrefDBB7FarSxZsgSAmJgYXn75ZS666CLCwsKIiopy93jv378/EydOZPDgwQQFBdGtWzfuuOOOprg0qWeuwnQ1psln7YKSI+AXxCmnDCV0cRLpuXZe/WE7wxJbMzQxGlvVoH/kZNi/DrZ9Cd9OBwwF7SIiIiIizdzzzz/P+++/z8MPPwzAL7/8ws0330yPHj345ptvCA8PZ9GiRUyfPp2RI0fyxRdf8Pe//52wsDDmz59Pamoq8+fPB8wgvKCggKKiIp544gleffVV3n77bY/3KykpYdu2bXTo0IHAwECWLFnCs88+63HMl19+yd/+9jd27drVYNdtMYyj7HjfCDIyMvj1118ZPnw4rVu39tiXkpLC1q1bOeOMMzx6wINZrT4tLY2RI0fWuMa9qry8PCIjI8nNzdV692bmhtmr+GnHYZ67qi/XDuno/aBN8+G/N0O7wSweMZd7/7Mee2lFIYqEyCCmj+nF6D4Jnq8rzIKZ5d0IbAFmUQ0RERERkROc3W4nJSWFxMREgoKCmno4f4jD4WDNmjUMGzas2r7U1FQ6dOjgsc1ut3u95iNHjuDv71+tWPofVdPX+mji0GZRnK6q+Ph4Lr744mpBO0BiYiIXXnhhtaAdoFevXpx33nlHFbRL82UYxlFVlN8b2JUJc9d6BO0AGbl2Jsxdy+LNVda9/zK74rGjpNGKaIiIiIiISP2w2Wxeg3agWtAO+PygIiwsrN6D9vrULAN3EYD9uXZyCkvxs1roFlf9gxq38sJ0H+6Nwlv6iGvbjIXJOFzr3l1r2qNPMp93H92oFTBFRERERETqSoG7NFtb0sz17d3iwgn081Hp3TDcM+4rCnx3EjCA9Fw7q1OyPAvRnXyJeUBk+0ZvXyEiIiIi0pSa4arpE059fY2bpDidSF1UpMnXsN4jLw0KD+O02NhmVE+Fqepgvt2zfcWGj8wdB5Lh4hfNx43cvkJEREREpDHZbOakWElJCcHBwU08mhNbYWEhAP7+/n/oPArcpdlyBe69EmoI3MvT5Isiu1JcVHttg9jwIBhQqT1FXG/z/uAWc/ZeVeVFRERE5ATn5+dHSEgImZmZ+Pv7Y7UqEbu+GYZBYWEhBw8eJCoqyv1hybFS4C7NVnJdWsGVp8kHdxxIQlEQGbl2r+vcLUB8ZBBDE6M9d8R0B4sN7Lnm7H1k+/oZvIiIiIhIM2WxWEhISCAlJYU9e/Y09XBOaFFRUcTHx//h8yhwl2Ypu6CE/bl2AHrVFLiXz7hbE/ozvXsvJsxdiwW8Bu/Tx/Sq3s/dLxBiukHmVjNdXoG7iIiIiLQAAQEBdOvWjZKSkqYeygnL39//D8+0uyhwl2bJlSbfqXUI4UE1rAdJ32DeJ/RndOcEZo0dxIyFyaSXB/0AQf5WXrl2QPU+7i6xvczA/eAW6H5+fV2CiIiIiEizZrVaj/s+7i2FAndplrbUJU2+MAvy9pmP4/sCMLpPAuf1imd1ShYrdx7i1R92EBHkxwW9a0hPiesNWz6FA1vqa/giIiIiIiL1RlUIpOEkPeO7tdrSmeZ+Hyoqykf6Pr9rtr1VIgRVBPg2q4URXVoz4ayu+FktHMwvIS2nyPd5XAXqDiT7PkZERERERKSJaMZd/hCH02B1ShYH8+3EhpvF39zryK02SHoKp2Hwc4db3McMS52NdcnTZks2H1wz7jWuby8vTEdCP6+7gwNs9GobwcZ9uazdm0P7ViHezxPby7w/9Ds4SsH2x1o1iIiIiIiI1CcF7nLMFm9Or7aePCEyiOljepnryUdOZvuBfLoteZoVpb/zmuNK7rZ9ygj/+WzvdQ/dfLReKywpY9ehAqCWVHnXjHu898AdYFDHVmbgviebS/u39X5QVEcICIeSfDi0HeJ61XzhIiIiIiIijUip8nJMFm9OZ8LctR5BO0BGrp0Jc9eyeHM6izenc/7a4bxYejWT/OezI3Ask/zn81Lp1Zy/djiLN6d7Pfdv6fkYBrQJDzT7rvuS7ppxH+DzkFM6tQJg7d5s3+exWCqCda1zFxERERGRZkaBu/jkcBqs3HmYz9ensXLnYRxOw719xsJkry3XXNseX7CFxxeYx6xw9sYwwM/ixDCgt3U3gy1bmbFgi/ucldWpf3vxETi8w3zsI1UeYFB54L5lfx6FJWW+z+dKlz+owF1ERERERJoXpcqLVzWlwUcGB1Sbaa/MADLyigEYZPmdDwOewmIBwzAnty+wreEC2xrW27uwM+leultSzXXl5anzFYXpIswidk4HjJri+SYHtpjvFBYPYbE+x9I2Moj4iCAy8uxs3JfL8JNaez9QBepERERERKSZ0oy7VFNbGvxbP+6s03kGWX5nXsCTBFrK2ONsQ8/id3m3zOyTXmZYGWDdSfdld8PqNyHpKfj+CaAicL8s9wNzu9VW/eTu/u2+Z9sBLBYLgzpFAbWky7sC94MK3EVEREREpHlR4N7c/YGWaseitjR4A0jallnreQZatruD9r3ONlxQMhM7gcwo+z9eLL0aP4uTlY6elAZGg91MjWfZCzjfOZ/DGancbfuU7smvmpXnvRWxy3AF7v1rHcugjuXr3PfUELjH9jTvc1OhKKfWc4qIiIiIiDQWpco3d+Ut1QDPAHbpTHN7lZZqNbZnq4PVKVk1psG7BPlbsZc6ve4baNnBnMDnCMQVtD+HnUD3/tccVwIQ4g9D7/8BNn0EK/8Bh3dgTf2Zn/x+xmIB58gpWH1UnncXpquhorxLRYG6HAzDwGLx8vUIbgUR7SAvDQ7+Bp1G1HpeERERERGRxqDAvblzBa5JT0FJAVj9zPXgS56pNhtda3u2OjiYX3vQDvDnoR1596fdAB6z8wMtO3g/4BnCKCIrZgij903ATvXK8K85rgQHHP52N49cdBPWQf8H27/GmHc9Fot5Ruv2xdBjNLQd4PnishIzuIZaU+UBereNJMDPSlZBCbsPF5IYE+r9wNhe5YH7FgXuIiIiIiLSbChV/ngwcjKMnAI/vQLLXvAZtNfWnq0uamy/VslNpR/xzaBVxEdWHN/fsoM5gc8SYSmCyA5E3/Y5L4091eMYMD9MuHJQOwBmL0/hvo/XU+IEZ/pGLBiUGeXflvvXwduj4KuHwJ5XcYLM38BZCkGRENWp1rEG+Fnp1y4SgF9rSpdXgToREREREWmGNON+vBj1MCx7HpzlLc0i2rl31bYu3QLMWJjMeb3ia02bH5oY7a7C7o0FiI8Mol10GNYlT/PTWWH83OEWSvb+wmkrnsevtNA8sN+1EBDK6D6hnNcr3mv6/hndYnjwk418vn4/p+x+m3H2D3ix9Gpec1zJw7YPGe//BRhO+PkNWDsHup8PV7/rmSZvsfiuPF/JoE6tWLMnm7V7s7n6lPbeD3IH7moJJyIiIiIizYcC9+PF0plm0G6xgeGABXdB9EnQaUSt69INID3XzuqULEZ08dEOrZzNauHcnrHM/XlvtX2ukH/6mF5Y+5wDFgvWpKcYcUo6bP4USvPNA854AM6Z6nFOb+97xcD2RIcGsm7OFMbZP3EH7QDPOv5MIUHc7z+fkoBIAkpyYctnZjV5V8/1hP4+1/pXVbcCda5e7r9V9K4TERERERFpYgrcjweVg9MzHoB/DodD22DuFXDHKg7m+9fpNHVZv36kuIyvkw8AEB7kR769zL0vvup6+ZGTofgIrPh7xQmqBO21Ob1rDFv94MWSiqDd5dXy562sBjee2RXrshcga5d5A8jZC78t8F15vhJXS7htB/LJs5cSEeTlaxbT3awhUJwLufsgqkOdr0NERERERKShKHBv7ioH7a7g9LYkeHUQHMnAePsclrd9v06nGrTrDcgN9x7klqebv1l6JZn5xXRuHcJXE89kfWpOzRXqiw5XPLYFHFXQDmYV+2eKrvC5/1XHlVAIJ3cazoh+18DcqyBnt7mzjkE7mGv3O0QHk5pVxIbUHM7o1qb6QX4BZvB+MNlMl1fgLiIiIiIizYCK0zV3TgeMehTHGQ+ycudhPl+fxspUO45bvsfpH4ql8BCjtz2GFe+t2VwSytelk/RU9b7w5R8O5JU4eetHczb74Qt7EhxgY0SX1lw2oB0jurSuHrTvXw/r5pqPrf7gKPHdc96HulaxP5hvh5iuMHG9OSsO5gcFdQjaXU4pT5evsUCdO11e69xFRERERKR50Ix7czdqitnm7bkfPNaxtwrxp3vZI7xveZxzbOv4sO0irt8zBsBrkbppl/TC2tdcl+7RF77SjP70jPMpLktjaGI0F/SOq3lchgH/GWs+ju0Nd6yoOJfr3HVQ1yr27uN+LC/QZwuo+KCgju81qFMr/rd+P2v35vg+KK4XbEaV5UVEREREpNnQjHsz56vNW3ZhKT+XJPJs4EQAhh+Yx4LTUqq1XnPJKiwxH4ycDKffbwbYf4t2B+0bTrqNz9alATD14l5YaivM9slNkJtqzn7f8HHFuUc96n1W34ehidEkRAbh690smNkCQxOjPZcNTM086vdyFahbtycbp9PbxxuYH0KAmS4vIiIiIiLSDGjGvRmrqc2by2LLqUw78yGsPz5H37VTWT5uIaudA9zr0jel5ZD/9dPkLppPhu0K4lM+g62LzBc7HWCxYZz5IE++uRKAKwe2o2/7yJoHVloEO783H5/5IERWaq/mmv12Oup0jTarheljejFh7loseGYLVK5ib1v2fPW1/q77Os7ynxwfTkiAjfziMrYfPEKP+PDqB7lawh36HcpKzHXvIiIiIiIiTUiBezNWW5s3gIxcOz93vJURbT6HzK3YPriaEXeshC6JAAz77Wms/vM5YgQR9sWn1U9gONj/7jh+2X0dQf5WHrigR+0DW/E6FOdBRHs49Z7q+49i3TnA6D4JzBo7iBkLkz2u16OKfZLDeyG6o/igwM9mpX/7KFbuOszavdneA/fI9hAYaVaWP/Q7xPc5qmsRERERERGpbwrcm7E6F247UgK3JsGrA+FIBsw+F06/D1b8HeuRgwCEWewcNsIpiehEQv5mOOsRyE+HX9+l3d4FTPUrIfeMv9E2KrjmN8vbD8tfMh+fNwMCQv7IJbqN7pPAeb3iWZ2S5b2K/agpvl98NAXqOrVi5a7D/Lonm+uHdqx+gMUCsT0hdZWZLq/AXUREREREmpgC92bsqAq3BYSYbeJeHwKFh+CbR82dFiucfDErw8/n55+SuDf/U9IH3c/uDrdwKCeP/r/9QsfCzdzst5gSegHTa36z72ZAaSF0GAZ9rvpjF1iFzWphRJfW9XrOqlz93NfuraGyfFwvM3A/oMryIiIiIiLS9BS4N2Ouwm0ZuXav69wtmOnkQxOjzQ0RbeH/voC3zjKfW23wwA4IiWa4YXB4+y+8ePBq/rlqCI4VqwCIZQJfBD5KrCWHgO1fwnnTzFlnb/atgY0fmY9HP+P7uGZsYAezQN2uzAKyCkqIDvWyht21zl2Bu4iIiIiINAOqKt+MuQq3AdWqrnsUbqvcX337t+UvDjDXff8y2zzeYqHotMm85rgSR6WK6gdpxYSSiZQaNsjcCite9T4Yw4DFD5uP+/8Z2p3yB6+uabQKDaBLm1AA1vmadVdleRERERERaUYUuDdzrsJtVdu8xUcGMWvsILNwm0sN7dIcToOXvv3d63v8avRgRtk4AIzvHoedP1Q/aNN82PcL+IfCOdPq6/KahKstnM90+die5n1eGhTVkFIvIiIiIiLSCJQqfxyotXAbeAbtXtqlpWUVkp47xOd7zHWcS19LCtf6LYH5f4XblkCrzubOkgL4rnzt+xn3Q0SCj7McH07p1IpPft3Hr3t8BOXBURDZwexTf/A36HRqo45PRERERESkMs24HydchdsuG9COEV1aewbtYKbF+2qXNupRCu3FtbyDhWll/0d2VF9zlnn2eVBSaO766VVz9jmyo9nbPOmZeruupjCokznjviE1lzKH0/tBseYSBa1zFxERERGRpqbA/UQxaorvtmgjJ5M99IFaT1FMALvOngX+IVBw0Gwrl5MKP/3dPKD9KfDjc2bRu+NY1zZhhAf5UVTqYGtGvveD4hS4i4iIiIhI86DAvYVwVaj3VQfeAiREBjGgTx+44RNzy8Et8MZpUFZkpo5v+cz7rP5xxmq1uNe5+0yXV4E6ERERERFpJhS4txBHVaG+8+kw+llzoz3XvM9NPSGCdpdaC9S5W8IlmxX1RUREREREmogC9xbkqCrUD7sd+l1X8dwWcMIE7WAWqAP4acchPl+fxsqdhz3a5BHTDaz+UJIPOXubaJQiIiIiIiKqKt/i1KlCPYDFAtGJ5mNbADhKzMr1J0jwnplvB+DQkRImfrQeMJcKTB/Ty/wAw+YPMd3N5QIHk6FVpyYcrYiIiIiItGSacW+Baq1QD2aQvuQZrz3hj3eLN6dz/8cbqm3PyLUzYe5aFm9ONzeoQJ2IiIiIiDQDCtylOl894U+A4N3hNJixMBlvq9Zd22YsTDbT5t3r3BW4i4iIiIhI01GqvFRXU0941/7j1OqULNJz7T73G0B6rp3VKVmMUGV5ERERERFpBprFjPvo0aN57733ePzxx7FYLNVuS5YsAaBfv34e22+55Rb3OebPn0+nTp1o27Yt8+bNa6IrOUHU0hOeUVMadzz16GC+76C92nGuVPlD26GsuAFHJSIiIiIi4luTB+4ffPABX3/9NQAPP/ww2dnZ7tv69etp06YNAwcOpLCwkJ07d3Lw4EH3/tdeew2AzZs3c8MNNzB16lS+/vprpk2bxrZt25rysqSZig0Pqv0g13ER7SAwEgwHHPq9gUcmIiIiIiLiXZMG7llZWUyaNIkePXoAEBQURFRUlPv2j3/8g3vvvZfIyEjWrVtHv379aNOmjXt/cHAwALNnz2bUqFHccsst9O3bl7vuuos5c+Y05aVJMzU0MZqEyKBqvexdLJjV5YcmRpuV9bXOXUREREREmliTBu6TJk3iiiuuYPjw4dX27d+/n88++4x77rkHgNWrV7Nv3z534D5hwgSKi8305Q0bNnD22We7Xzt06FB+/fVXn+9bXFxMXl6ex01aBpvVwvQxZgp81eDd9Xz6mF4VlfZVWV5ERERERJpYkwXuSUlJfP/998yc6b1C+RtvvMH1119PWFgYANu2beP0009n+fLlfP3113z77be8/PLLAOTl5ZGYmOh+bUREBPv37/f53s888wyRkZHuW4cOHerxyqS5G90ngVljBxEf6Zk2Hx8ZxKyxg8w+7knPmNXzY8sD98oF6pbONPeLiIiIiIg0giYJ3O12O7fffjuzZs0iPDy82n6Hw8Hbb7/N+PHj3dveeOMN5s2bR48ePRg2bBjTpk1j/vz5APj5+REYGOg+NigoiMLCQp/vP2XKFHJzc9231NTUerw6OR6M7pPA8ofO5o2xg9zbvpx4hhm0A1htZuu79PXm8wPlgburVZ7V1rgDFhERERGRFqtJ2sE98cQTDBkyhIsvvtjr/qSkJFq3bk2vXr18niM2Npa0tDQAoqOjyczMdO/Lz88nICDA52sDAwM9An1pmWxWC6P7JNC+VTD7sotI3p/HaV1jzJ2uqvpJT5n3+fvhu8dh+cveW+WJiIiIiIg0kCaZcf/www/5/PPP3UXmPvzwQ+644w7uuOMOAD7++GOuvPJKj9eMGDHCY2Z85cqVdOrUCYAhQ4awcuVK975169bRrl27RrgSORH07xAFwPrUHM8dIyebQbqLgnYREREREWkCTRK4L1u2jM2bN7N+/XrWr1/PpZdeyt/+9jf+9re/AbB48WLOOussj9f07t2b22+/nZ9//pn333+fF198kQkTJgBw1VVX8dFHH7Fp0yaOHDnCq6++ygUXXNDYlyXHqYHlgfuGqoE7mEG6pfy/icWmoF1ERERERBpdk6TKt2/f3uN5WFgYMTExxMTEsHPnTvbv38/QoUM9jnnhhRe46aabGDVqFLGxsTz//PPceOONAPTv35+JEycyePBggoKC6Natm3v2XqQ2rhn3Dftyqu9cOhMMp/nYcJjPFbyLiIiIiEgjshiGYTT1IOpLcnIyaWlpjBw5ssY17lXl5eURGRlJbm4uERERDThCaY4KS8ro+/g3OJwGq6acU1Ft3lWIbvBfYc2/wBYIjmKly4uIiIiIyB92NHFok/Zxr2+9evXivPPOO6qgXSQkwI/ucWZ3A/c6d1fQPupRuPB5CAg3g/bBN5vbl3pvYygiIiIiIlLfTqjAXeRYDegQCVQK3J2Oipl1mx90HGZuj+lubnc6mmagIiIiIiLS4jTJGneR5mZAhyjmrU6tKFA3aornAZ1OhR3fwZ6f4No5jT4+ERERERFpuTTjLkJFgbpNabk4nF7KPnQ81bzfswJOnLIQIiIiIiJyHFDgLgJ0iw0nJMDGkeIydmUeqX5Au0FmcbrCQ3Boe+MPUEREREREWiwF7iKAzWqhT7sq69wr8wuE9kPMx3t+aryBiYiIiIhIi6fAXaTcgJr6uYO5zh3MdHkREREREZFGosBdpFz/9lGAjxl3qAjc965slPGIiIiIiIiAAncRtwEdowDYmp6PvdRLu7cOQ8HqB7mpkLO3cQcnIiIiIiItlgJ3kXJtI4OICQukzGmwZX9e9QMCQiFhgPlY6fIiIiIiItJIFLiLlLNYLAzoYBao21BburwK1ImIiIiISCNR4C5SiWudu+8CdaeZ95pxFxERERGRRqLAXaSS/uWV5X0WqOs4DLDA4R2Qf6CxhiUiIiIiIi2YAneRSlwz7nsOF5JdUFL9gOBWENfbfLy3Ytbd4TRYufMwn69PY+XOwzicRiOMVkREREREWgK/ph6ASHMSGeLPSTGh7DpUwIZ9OZzVI7b6QZ1OhQObYc9K6H0FizenM2NhMum5dvchCZFBTB/Ti9F9Ehpx9CIiIiIiciLSjLtIFa50+Q2pud4PcBeoW8HizelMmLvWI2gHyMi1M2HuWhZvTm/AkYqIiIiISEugwF2kiv7tyyvL+ypQ19EM3I0Dm3lpwWq8JcW7ts1YmKy0eRERERER+UMUuItUUTHjnoNheAm6w+OgdVcsGLQ/stHneQwgPdfO6pSshhmoiIiIiIi0CArcRaromRCBv83C4YIS9mUXeT+oPF1+qHVrrec7mG+v9RgRERERERFfFLiLVBHkb6NXQgRQQ1u48n7uw+oQuMeGB9XX0EREREREpAVS4C7iReV0ea86jgCgrzWFELzPqFswq8sPTYyu/wGKiIiIiEiLocBdxAtXP3efBeqiOkJEe/xwMNC6vdpuS/n99DG9sFkt1faLiIiIiIjUlQJ3ES9cM+6b0nIpczirH2CxkB8/FICh1m1Ehfh77I6PDGLW2EFmH/ekZ2DpTO9vtHSmuV9ERERERMQHBe4iXpwUE0p4oB/2Uie/HzhSbb9hGHx8sAMA54fuZM2j59IjLgyAe87pyvKHzjaDdgCrDZKeqh68L51pbrfaGvRaRERERETk+KbAXcQLq9VCvw5mP3dvBeoWbUrnwwPtAehRtg0/o5STywvahQX6eabHj5wMox71DN5dQfuoR839IiIiIiIiPvg19QBEmqsBHaL4acdhNqTm8OdhHd3bjxSX8cQXyRww2lLo34qQ0mzYv462UVEA7M/xUqxu5GRwOs1gfckzYDgVtIuIiIiISJ1oxl3EB18F6v7+3e8cyCumU+tQArucbm7c8xNtI822b/tzvPR+dzoga6f52HCC1V9Bu4iIiIiI1IkCdxEfBpQXqPv9QD4FxWUAbM3I418/7Qbg8Ut7Y+vsCtxX0DYqGID9uVUCd6cTFk6ETR9X2lbqu2CdiIiIiIhIJQrcRXyIjQgiITIIpwGb03IxDINp/9uCw2kwunc8o3rEQieznzt7f6ZthFlZ3iNV3jDgqwdh3RzzeUC4ed/jIu8F60RERERERKrQGneRGvRrF0l6rp0Pft7Lkm2ZrN6dRbC/jWljepkHxPWBwAgozqN9sZkKn1VQgr3UQZCfFb55DH6ZbR7b81IIbQNr3oG43tB2oBm8g9LmRURERETEJwXuIj4s3pzOil2HAViwYb97+wW9491p8Vht0HE4bP+GsAOrCQ3oQkGJg/05RZy08WVY+bp5XI+L4No5sPxl83lOKlz5pvnY6WisSxIRERERkeOQUuVFvFi8OZ0Jc9eSby+rtu/z9Wks3pxesaHTqQBYKq1zty17AZa9YO6/8Hm4fp75ONLs/U7uPvN+5GQYNaVBrkFERERERE4MCtxFqnA4DWYsTMao4ZgZC5NxOA1IegayUsyNe1aQEBnErbYv6LSxfGb9pFEw7LaKF7oD970NMnYRERERETnxKFVepIrVKVmk53rpxV7OANJz7axOyWKE1QZr3werHxRlMb7wTU71/2/FweWz8W6R7c37vP1mirzVVv8XICIiIiIiJxTNuItUcTDfd9Be7biRk2HUo+A0U+pPPVwpaB/1aPWic+HxZpDvLIP8jPoasoiIiIiInMAUuItUERsedHTHjZwMnc/w2Dc/fJz3SvFWG0S0NR/npv6RYYqIiIiISAuhwF2kiqGJ0SREBmHxsd8CJEQGMTQxumLjmL+7HxYbfvyTq3y/QWRH895VoE4qJD3ju7f90pnmfhERERGRFkaBu0gVNquF6eV92qsG767n08f0wmattHezmSJvWAMItJRxWe5cDMNHeTvXOvccFairxmoze9tXDd6XzjS3qyaAiIiIiLRACtxFvBjdJ4FZYwcRH+mZNh8fGcSssYMY3SehYqMrqBz1KCWPZPBi6dVMtH5C0XfPej95VJWWcFLBVTOgcvBe6evrdfmBiIiIiMgJTlXlRXwY3SeB83rFszoli4P5dmLDzfR4j5n2KkFlIDAv+Hoogkk/PQsBturBpmvGXWvcvXN9vZKegiXPgOFU0C4iIiIiLZoCd5Ea2KwWRnRp7fsAp6NaUNkuKojXjlzJZQPa0tXpqP6aSM2412rkZDNwN5xmFX4F7SIiIiLSgilVXuSPGDWlWlCZEBkMwPK2fzX3V+UK3HNSwdc6+JYu6emKx84y3wXrRERERERaAAXuIvWsbZQZuKfn+ugH70qVL8kHe24jjeo4snQmLH2u4nl8X+8F60REREREWggF7iL1rG2UWdAuLafI+wEBIRBSnn6vde6eXDUD+vypYpstoHrBOhERERGRFqRZBO6jR4/mvffeA+DSSy/FYrG4b+eee677uKVLl9KzZ09iYmJ46aWXPM4xf/58OnXqRNu2bZk3b15jDl/Eg2vGfb+vwB20zt0XV82AhH4V2w5thzMfNLd7qxkgIiIiInKCa/LA/YMPPuDrr792P1+zZg2bNm0iOzub7OxsPv/8cwAyMzO59NJLuf7661m5ciUffPABSUlJAGzevJkbbriBqVOn8vXXXzNt2jS2bdvWJNcjUmuqPFTq5a4Zdw+umgFZOyu2FefBkYPlreK81AwQERERETnBNWngnpWVxaRJk+jRowcAaWlpGIZBnz59iIqKIioqitDQUMAM8Nu2bcvUqVPp1q0b06ZN45133gFg9uzZjBo1iltuuYW+ffty1113MWfOnCa7LmnZXKnyB/LslDqc3g+K6mjet8BUeYfTYOXOw3y+Po2VOw/jcHop0Hd4p+fzQ783zuBERERERJqhJg3cJ02axBVXXMHw4cMBWL16NQ6Hg/bt2xMaGsp1111HdnY2ABs2bGDUqFFYLGYP7aFDh/Lrr7+695199tnu81be501xcTF5eXkeN5H6EhMaSIDNitMwg3evWmgv98Wb0zn9uR+4/u1VTPxoPde/vYrTn/uBxZvTPQ90Be6hbcx7Be4iIiIi0oI1WeCelJTE999/z8yZFcWmtm7dSv/+/Vm0aBGrVq0iJSWFKVPM1Ni8vDwSExPdx0ZERLB///5a93nzzDPPEBkZ6b516NChvi9PWjCr1UJ8pDnr7ruyfMtb4754czoT5q6t9jXJyLUzYe7aiuC9pADyy///dr/AvD+0vRFHKiIiIiLSvDRJ4G6327n99tuZNWsW4eHh7u1Tpkzh22+/pX///vTt25fnn3+e+fPnA+Dn50dgYKD72KCgIAoLC2vd582UKVPIzc1131JTW9aspzQ8V7q8zwJ1LWyNu8NpMGNhMt661ru2zViYbKbNZ+0yNwRHQ/uh5mPNuIuIiIhIC+bXFG/6xBNPMGTIEC6++OIaj4uNjeXw4cMUFxcTHR1NZmame19+fj4BAQEANe7zJjAw0CPQF6lvrgJ1PlvCuda4H8mAsmLwO7G/H1enZNVYrM/AzE5YnZLFCPsOc2PrLhDT3XysGXcRERERacGaZMb9ww8/5PPPP3cXoPvwww+54447GDVqFMuXL3cft3LlSuLi4ggMDGTIkCGsXLnSvW/dunW0a9cOoMZ9Ik2hbWQtLeFCWoOfeQx5aY00qqZzML+GCvtVj3Otb2/dtSJwz90LJb6zaEREREREoI6FkI9DTTLjvmzZMsrKytzPH3jgAYYPH47dbue+++7j5Zdf5tChQ0yZMoUJEyYAZn/3O++8k++++46RI0cyc+ZMLrjAXP961VVXcdpppzFx4kQSExN59dVXGTt2bFNcmghQqSVcjo+A1WIx0+UPbzfXuUef1Iija3yx4UF1Py6lPHCP7gKhrc2U+aIsOLzDs7+7iIiIiIhL0jNszyxk3M6zPDI9EyKD+HeXJXRrE3JctxZuksC9ffv2Hs/DwsKIiYnhhhtuICUlhdGjRxMeHs4dd9zBI488AkBMTAwvv/wyF110EWFhYURFRfHee+8B0L9/fyZOnMjgwYMJCgqiW7du3HHHHY19WSJurjXuPlPloSJwbwHr3IcmRpMQGURGrt3rOncLEB8ZxNDEaFjimnHvYt7HdIfUVeY6dwXuIiIiIi2Sw2mwOiWLg/l2YsPNvxttVot7//bMQrolv8rVpft5jSvd2/905EO6Jc9ne6976NYUA68nTRK4V+UKwAHeeecdd3/2qsaPH88FF1zA1q1bOeOMMwgLC3Pve+qpp7jhhhtIS0tj5MiRNa5xF2lorhl3n6nyAFEtp7K8zWph+pheTJi7tto+14/b6WN6mT98D1da4w4Q080M3F3bRURERKRFWbw5nRkLk6vNpE8f04vRfRJwOA3G7TyLq0v3M8l/PqHYedZxPXfbPuN+//m8VHo1n+w8i+VOwyPYP540i8D9aCQmJnq0fqusV69e9OrVq5FHJFJdQnk7uDx7GUeKywgL9PJfzd0Sbm8jjqzpjO6TwLQxvZixMNlje3ylH7oUZUPhYXNHdKUZd1BleREREZEWyNVSuGrWpqul8D9vGERBSRnpuXZe40raWHIY7/8Ft/t9gcUCL5ZezWuOK8FVCLlL6ya5jj/quAvcRY4H4UH+RAT5kWcvIz2niG5x4dUPaoG93COC/AEI9LNSXOYkJjSA5Q+dXfHJ5+HyVnBh8RBYnlETU57UpMBdREREpEWpS0vhOz9cS+X6cz85+zKO77BYoNjwM4P2cnUtmNwcNUlVeZGWoNaWcC2slzvAxn05AFzavy0AhwpKOFJcUaiSrEoV5V3cM+47wOlshFGKiIiISHNQW0thAKcBtkrZ79fbvgfAYVgItJRxt+1T9766FkxujhS4izQQd2V5Xz9sKq9xN06MNhW12bAvF4DTu8XQrvzrsy0jv+IA9/r2SlX2ozqB1R/KiiCv5WQniIiIiLR0dZ0hf/aqviREBnGP7VPOsm0EYJbjUl4svZpJ/vO5x/YpCa5CyMcpBe4iDcRVWd5ngbqIdoAFHMVQkNl4A2siJWVOktPzAOjXPoqeCebyga0ZeRUHHfYy427zqyhUp3R5ERERkRajrjPk7VuF8u8uS7jffz4pzngA9hqxvOa4kpdKr+Z+//n8u8uS47YwHShwF2kwCZG1pMrb/CE8wXyce+Kny/9+IJ+SMifhQX50ig7h5PgIAH5Lrxy4l8+4uwrTubjXuW9vhJGKiIiISHPgainsK9y2gHsmvVubELb3ugerzQxxU41YAD4J+7PZCq5NSOMMuoGoOJ1IA3Glgqfn1JDiE9UB8veb69zbndJII2saG8vT5Pu1j8RqtXBy+Yz7b+nlqfKGAVnlxekqz7iDKsuLiIiItECVWwpbwKNIXbWWwqOm0M3pwHjqDXDATZecxT1xXcr7vZ/TBKOvX5pxF2kg7l7uuTX0cncVqGsBM+6uwnT92kcB0DPBnHHflpGP02mYywWK8wALtOrs+WJ34K4ZdxEREZGWZHSfBGaNHUR0aIDH9vjIIGaNHWS2FHbJT8fiKAGrH+cPP4URXVof1+nxlWnGXaSBuHq5p+fYcToNrN5+aLSglnCuwnT920cC0Ll1KIF+VopKHezJKiSxoHx9e1QH8K+ynkmp8iIiIiIt1ug+CRSXOpn4n/UkxoTy9BV9y2fSq/x9nb3bvI/qCFZbo4+zIWnGXaSBxEcGYbFAicPJ4YIS7we1kJZwRSUOfj9gpsS7ZtxtVgs94ssL1KXn+V7fDtC6PHA/kgH23IYeroiIiIg0M2nlWawDO0T5nkl3Be5VszdPAArcRRqIv81KXHgtleWjOpr3J3iqfHJ6Lg6nQUxYoDsTAaCnq0BdRn6lHu5eAvegCAgzK4RyaEdDD1dEREREmpnULPPv6fbRNRSZU+AuIsciobaWcC1kjfuG1Io0eYul4tPRigJ1lWbcqxamc3Gny6tAnYiIiEhLsy+7EIAOrYJ9H6TAXUSOhatAnc+WcK417kXZUHykkUbV+KoWpnNxtYTbmpEHh8sryntLlQdVlhcRERFpwVKzygN3zbiLSH1zt4TL9dESLigCAs1ibSdygTp3K7gOkR7be5bPuO/LKsCoKVUeFLiLiIiItFAOp+GeCKsxcM9KMe8VuIvI0XCt5/aZKg9mFXU4YQP33KJSdh0qAKB/lRn3qJAAEiKDiCcbS5kdrH4Q1cn7iVRZXkRERKRFysizU+ow8LdZiI8I8n5QcT4UHjIfK3AXkaPh7uVeU+DuXue+txFG1Pg2p5mz7e1bBVfrvwlwcnw4idZ080mrzmDz0aXSNeOetQscZQ0wUhERERFpjlxp8u2ign33Zc/eY94Ht4KgSO/HHMcUuIs0IFeq/H5fqfJwwvdy31C+vr3qbLvLyQkRJFoyzCe+1rcDRLQDv2BwlkLOnvodpIiIiIg0Wy19fTsocBdpUK5U+cz8YorLHN4POsF7uW8sryjfr733Tz57JkSQaCmfcfdVUR7AaoWY8v1a5y4iIiLSYqRml7eCa6XAXUQaQHRoAIF+5n+zDF+z7if4GndfFeVdesaH07l8xt0ZfVLNJ1OBOhEREZEWZ597xr1ltoIDBe4iDcpisVSky+f4CNzdqfIn3ox7Zn4x+3PtWCzQ18eMe2JMKCdZD5jHB3So+YQK3EVERERanL2uwF0z7iLSUBKiaqks7wrc8/afcEXXXLPtXdqEERboveicH046WszA/beSNjWfUJXlRURERFqc1GytcVfgLtLA2kbWUlk+LA6s/mA4ID+9EUfW8Dbsq3l9OwC5e/HDgd3wZ31uDT+MoWLGPXMbGEY9jVJEREREmit7qYMDecUAdPQVuDudFcWLFbiLyLFoW1tleasVItuZj0+wde4ba6koD8DhnQDsNuLZmlFQ8wmjuwAWsOdA4eH6GKKIiIiINGNp5ZNfoQE2WoX4ez8oPx0cJWCxQUT7Rhxd41HgLtLA2taWKg8n5Dp3wzDYWJcZ9/LAPcWIZ2tGXs0nDQip+FppnbuIiIjICa9yKziLxVcP993mfVQHsHlfnnm8U+Au0sDcM+4tLHDfl11EVkEJflYLPRMifB94eAdgzrjvySqkoLiWdf5a5y4iIiLSYqgVnEmBu0gDqxy4G77WZZ+Avdxds+0nJ4QT5G/zfWCWOeN+KLADhgHbDuTXfGJVlhcRERFpMVLVCg5Q4C7S4FzF6QpKHOTZfcwmn4C93Gvr3+5WPuNuad0VgK3ptQXumnEXERERaSlS1QoOUOAu0uCCKxXS8N0SrnzG/QRKlXfNuPevaX17WbE7yyC8XQ8AfkuvZZ27ZtxFREREWgxXKzifFeVBgbuI1A9Xunx6rq/AvaN5n7vvhGhz5nQabE5zFaaL8n1gVgpgQEA4nTp0Bqi9QJ0rcM/ZA6U+KvWLiIiIyAkhNcv8+7kl93AHBe4ijcIVuKfl+Ag0Xe3gSo5AUXYjjarh7DpUQH5xGUH+VrrFhvk+sHx9O627cHJbs4Dd1vR837UAAMJiITASDCdk7arHUYuIiIhIc5JnLyW3qBSA9q18rHEvKYCCg+ZjBe4i8ke0jaylJZx/MIS2MR+fAOvcXevb+7SNxM9Ww4+Z8vXttO7CSTFh+Nss5BeXsS+7hgr8Fkulde5KlxcRERE5UbnWt7cODSA00Eebt+w95n1QJAS3aqSRNT4F7iKNoG4t4U6cde4V/dujaj7wsGvGvSsBfla6tDFn57dmqECdiIiISEvnCtzbt/A0eVDgLtIo3GvcfaXKQ6Ve7sf/jPuG8hn3/h1qKEwHFYF7dBcAeiW40uVrW+euGXcRERGRE517fbuvNHmoFLgnNvyAmpACd5FG0DbKTJVPq3HGvTxwz9nbCCNqOKUOJ8n7zcC71hn3rIoZdzB7vgP8VtcCdYc14y4iIiJyolJF+QoK3EUagWvGPSPPjsPpo/DaCdLLfVtGPsVlTiKC/OjcuoYfssVHID/dfNz6JABOjq8oUFcjd0u47SdEFX4RERERqc7dw12BuwJ3kcYQGx6EzWrB4TTIzC/2ftAJssa98vp2i8Xi+0BXRfiQ1u5CIj3LU+VTDhdQVOLw/dpWiWCxmVX4XcG/iIiIiJxQUrNdqfIK3BW4izQCm9VCfEQt6fLH+Rp3h9Ng5c7DLNyQBkCfdhE1v8BVUb58fTtAm/BAYsICMAzYdqCGWXe/AIguX8ekde4iIiIiJxzDMCrNuPtY4+50Qk55VXkF7iJSH1zr3H1Wlo/qaN4fOcDCX3excudh32n1zczizemc/twPXP/2KlbuygLgo19SWby5htnwKuvbXSrS5eu4zl2V5UVEREROOJn5xRSXObFaKpadVnPkAJTZzUxMV/bqCUqBu0gjcVeWz/UeuC/eaaeIQABenG8Gwac/90PNwW8zsHhzOhPmriU917Nifk5hKRPmrvU9fncruJM8Np8cbxaoq7UlnCvg14y7iIiIyAnHVZguITIYf5uPsNWVJh/ZHmz+jTOwJqLAXaSRxJWnyi/ffqjabPrizelM+GAd+5wxALS1HAYgI9dec/DbxBxOgxkLk6kpL2DGwmTvmQNVWsG5uNa5J9d5xl2Bu4iIiMiJxt0KzleaPLSY9e2gwF2kUSzenM5Hq802bz9uP+Qxm145+N1vtAagneUQgDsg9hn8NrHVKVnVZtorM4D0XDurU7Kq73Stca+aKl/eEm5reh5GTRXjlSovIiIicsJyr29XYTpAgbtIg3OlkufZyzy2u2bT//797+7gN80wZ9xdgTvUEvw2sYP5voP2Go8rzIKi8uuJ9kyV7xobhp/VQp69rMYPBYjpZt7npZmt5URERETkhOFKlVcrOJMCd5EGVFMquVF+e/X7He5t7sCdQ9WOr2uQ3Jhiw4OO7ThXK7jwBAgM89gV6GejSxtz22++0uWTnoFfZkOI+fVyz94DLJ1p7hcRERGR45ZS5T01i8B99OjRvPfeewC89dZbJCQk4O/vz8iRI0lPr1jbe+mll2KxWNy3c889171v6dKl9OzZk5iYGF566aXGvgQRr2pLJa/KFbi71rhXVtcguTENTYwmITIIX93aLUBCZBBDE6M9d/hY3+7SI94M3D9bl+a9ur7VBklPgX/5D3JXuvzSmeZ2q+3oL0ZEREREmo29SpX30OSB+wcffMDXX38NwPLly5k6dSpz5swhJSUFwzB44IEH3MeuWbOGTZs2kZ2dTXZ2Np9//jkAmZmZXHrppVx//fWsXLmSDz74gKSkpCa5HpHK6jpLHhXsj4Xqa9xdIoP9qwe/zYDNamH6mF5e97mC+eljemGzVgnt3evbqwfuizenk7Q1E4AvNqZ7r64/cjKMehRyU83nh36vCNpHPWruFxEREZHjUqnD6e7E5DNVvqQQjmSYjxW4N6ysrCwmTZpEjx49ANi+fTtvvvkm5557Lu3bt+emm25i3bp1AKSlpWEYBn369CEqKoqoqChCQ0MBM/hv27YtU6dOpVu3bkybNo133nmnya5LxKWus+Q3nZYIwP7yGfcEy2EsON37c4tKWbSpeVaWH90ngVljBxEV4tmCIz4yiFljBzG6T4K5IekZM7iGSj3cywP38vR2Vz2A/GLv9QCqBe9dy7NufnxeQbuIiIjICSI9x47TgEA/K23CAr0flGMWfiYwEoJbNd7gmkiTBu6TJk3iiiuuYPjw4QDcdNNNXH755e7927Zto1s3swDV6tWrcTgctG/fntDQUK677jqys7MB2LBhA6NGjcJiMWf1hg4dyq+//tq4FyPiRV1Tye+2fsI3g1ZBRAIOw0KgpYwYckmIDOLFuMXc6zef+/+znqStB2t/08oBclUNtP57dJ8E/u/UzgAM7RzNvFuHs/yhsyuCdqhIb18607OifPlMudNirbEeAHiprj/m1YojrH4K2kVEREROAK7CdO1bBWOtmrnp4k6T7wQWX39tnziaLHBPSkri+++/Z+ZM7wFGVlYWb775JuPHjwdg69at9O/fn0WLFrFq1SpSUlKYMmUKAHl5eSQmJrpfGxERwf79+32+d3FxMXl5eR43kYZQOZW86o+TyqnkVpsf3ZJf5cdT11MWGg/Avy5P4KcRa7gq9990i4+izGkwfu6v/LzLXPO9cudhPl/vZQ145QC5sgZe/739oFnZ/dxesYzo0rp6erwrvT3pKTj4m7lt1xL3TPnPHW45+tZy6z+oeOwsgyXP1c/FiIiIiEiTcbeCU0V5N7+meFO73c7tt9/OrFmzCA8P93rMnXfeyamnnsqFF14IwJQpU9yBOsDzzz/PlVdeyRtvvIGfnx+BgRUpFEFBQRQWFvp8/2eeeYYZM2bU09WI1MyVSj5jYbJHYBofGcT0Mb3KZ6XNmWJr0lMERrQHoO/eOZD8GYx6lPNPf4Bz5vzK91sPcuO/VhMW5MehIyXucyVUPpdr1jnpKfP+zAcbJZX894x8ALrHef8/DZjvXXwEVvzdfL76LfeYDq5Pq9P7uOsGuD6IOHWieZ6yIljytPmJq2bem7ekZ8wPkLz9Oy2dCU4HjJpSfZ+IiIi0CO5WcCpM59YkgfsTTzzBkCFDuPjii73uf//990lKSmLDhg0+zxEbG8vhw4cpLi4mOjqazMxM9778/HwCAgJ8vnbKlCncf//97ud5eXl06NDhGK5EpG5G90ngvF7xrE7J4mC+ndhws9K6x6x01YA7+TM4awqMnIw/8I8bBjHmteVsP3gEe6WgHSrWgLvXlI+cDKWF5rlc52vAoL24zEHKoQIAesTXELgDdD27InC3BbjHdFSt5aoVojNgxasQFldxvQremy9XVgh4/jtV/ncVERGRFmuvWsFV0ySB+4cffkhmZiZRUVEAFBYW8vHHH7N69Wr++te/cvfdd7NgwQLi4uLcr7n22mu5++67Of300wFYuXIlcXFxBAYGMmTIED788EP3sevWraNdu3Y+3z8wMNBjhl6kMdisFkZ0aV3zQSMnw9LnzLRvgN3LIf8AhMfhb7OSZy/1+jIDM/V+xsJkzusVjy1tDWz8pOKABl7/nXKogDKnQXiQH/ERtQTgy8rbNVqs4Cgxg7WRk931ADJy7V7XuUOl1nJ7HZ4fRJx2L6z5Fxw5AL2vMmdspfmq+iHVyMnqCiAiIiJuqWoFV02TBO7Lli2jrKyiavQDDzzA8OHDGTduHP3792fy5MkMHjyYI0fMNbNhYWH07duX++67j5dffplDhw4xZcoUJkyYAJj93e+8806+++47Ro4cycyZM7ngggua4tJE/pilM82g3epn3u9eBm+eAVfNZrWzNwfyin2+1FwDXkTqoufpvK5S8A/m4/IAuSH8fsD8v9o9LtxdJNKrpTMhZan5+IKnoTjfHbzZRk5m+pheTJi7Fgt4Dd7vOaebmaVQNY06tDUMGw/LXoDM3+Cq2X/8oqRhVQ7ek54GDAXtIiIiAsA+V6q8rzXuhtHiAvcmKU7Xvn17Onfu7L6FhYURExPDvHnzyMjIYOrUqYSHh7tvAA899BD9+vVj9OjRTJgwgTvuuINHHzXTKWNiYnj55Ze56KKLiIuLY9u2bTz22GNNcWkix67yjOO0wzD0dnP7kQPw78uIWvOKR4u4qiIo4A3/V+j861MVQXtcH/O+02neC9bVkzqtb3ddn195ylP7oZ4F65bOdNcDiI/0nLX3t5kfBizcsB+n08d8/Kl3me1ADibDlk//8DVJIxg5GVwf01isCtpFRESEwpIydy0nn4H7kYNmfSOLFSJbxpLnJplxr+q9995zP544caLXY/z9/XnnnXd89mcfP348F1xwAVu3buWMM84gLCysIYYq0jC8pQlfNBOCIszCcoaTnr+9SlJALF86hjHTcb3Hy/tadjHH/2mirIU4LVashhPOesQs1HZgs9l27aSzGmz997YDZuDeI66G/3dOhzkr/vMbYAuE+L6eYylPb/dWD6B1WACXvf4TK3Ye5q1luxg/skv18we3ghF3mgXqljwLvS4HW7P4ESe+LHkWd26F4TS7Apz1UJMOSURERJrWvmxzfXtEkB+Rwf7eD3LNtke0Bz/ftc1OJCfUX7WJiYkebeFEjhtOh/c04bMfMwu47V+HsTOJzmUHucO6kFaWfKaU3QYY/MX2LdP9/o2fxUkeoYQNuBqi2pvnWvMv8zwFh+DSVyveq579Xh64d6+pMN2oKbB+nvm47QDPH7JVrttbPYDpY3rx8KebePGbbZzWJYa+7SOrv8fwCfDzLDi8HTZ9AgOur36MNA9LZ8KSZzy3qSuAiIhIi3d0reA6NfyAmokTKnAXOW7V1PqqPIixHNjCkbk3EJafwvV+S2hvOUQuYVxiWwXADmdbdl/+GecOOrnitaFtzPuCTI9z1afCkjL2lv+A7VFTqjzAvtXmffshR/0+1w7pQNK2g3y95QATP1rHF/ecTkhAlR9hQRFw6j3w/QxY+iz0vRpsPj6plabjyjDpfQVs+axi+0mj1BVARESkhdurwnReNckadxE5BnG9CbtrGfs7XALAGbbN7qB9pWUgO/70vWfQDpUC94MNNqwdB49gGBATFkDrsFq6NaT+Yt53GHrU72OxWHj2yn7ERwSx61ABT3yRjMNpsHLnYT5fn8bKnYdxOA0YehuExJg/0Nd/WOt5pQm4MkxadzWfB5QvsSizm9vVFUBERKTFSlUrOK+OKXDfunUrV111FYbhq2mTiDSIwHDa/nUuzotfdlddd+DH0KlJjO7btvrx7sD9UIMNaVtdCtOBWUH+4Bbz8THMuAO0Cg3gpWv6Y7HAvNWpnPLkt1z/9iomfrSe699exenP/cDi7flw+n3mC358Hsp8V+In6RnfBfuWzjT3S/0bNcWcUc/YbD4ffJN5n/ozDLml5gwUEREROaGllleU71inVPnODT6e5uKYAvd77rmHsLCwmts+iUjDsFiwFh7CApQYftgow7bsee/HugL3kiNQUtggw3Gvb68tcN+/zixAFtEeIrx8yFBHp3aN4dyecQDkFHr2tc/ItTNh7lq+Cb0YwuIhNxXnr/+uPivvYrV5r7bvSuW22o55nC2d12yIqg6Uf5DT/UKzA4LhhO3fNO5ARUREpFlxrXFvX6fAveXUNzvqNe6PPPII2dnZPPzww/zlL3/B399z/ahhGBQXF/Phh0pRFWkQ5UHlhm53ctmm03gl/hsu97UuODDcrODuKIbCQxDQsd6Hs628h3uPmgrTAaSWr2/vcGyz7S4Op8Gmfble9xmYzcWmf7mLc0fdj3XxZA5/9TT/Z4+hGLMYXkJkENPH9GJ0nwTPXuIFhyDxDDOYXPKMeor/AYs3pzNjYTLpuXb3No+vO0BRDuTuNR/H9Ybuo80OCL8vhv7XNf6gRUREpMkZhuGuKu9zjXupHfL3m49b0Ix7nQP3kpISJk2axMaNG/n22285dOgQw4YNqxa4O51OiotrSE0VkWNXqW1cZpsbYdMa3rH9ictHtfNe1MtiMWfd8/bBkUyIqv/AvU493AH2la9vP8Y0eZfVKVlk5Nl97jeA9Fw7azZv5WQjmDaWLG6wfc+/HBcC5qx88rzH6Novjq4XTDCr9ofGwuo3zRsoaP8DFm9OZ8LctVSdX3dlQ8waO8gM3g8mmzsiO0BwFPS4EJa9ADu+h7KSFtPaRURERCrkFJZypLgMgPatfKxxzyn/4D8gHEKiG2lkTa9OgfvcuXN5+OGHufTSS/nhhx+w2WxERUVx1113NfT4RKSySm3j4tPMWecDefZqvdA9hJUH7q7K8vUot7DUHUR3r6mHu2FUCtyPvjBdZQfzfQftla3cm89Qq/mJ7QS/z5nnGEURQTxom8cd/gtJ/y0GfvuHl1eqHdmxcjgNZixMrha0Q0U2xIyFyZzXKx6bK00+ro9533aQ+SFTQSbsXQEnndU4gxYREZFmw1VRPjY8kCB/H0sWK69vb0FLt+u0xr1Xr16MGjWKTz/9lAULFgBQWFhISkqKZtdFGpOrqBcQG2FWcD90pJgyh9Pc7q2oV9WWcPXo94PmbHu7qGDCg2pou5a1CwoPm7PbCf3+0HvGhgfV6biXS67g5dIrAWhjyeNp/3dICrifO/wXApDAIQws0PkMc421mwHfzfhDY2ypVqdkeaTHV+XKhlidkgUZm8yNcb3Ne6sVul1gPt62uGEHKiIiIs2SqzCderhXV6fAfdCgQcyZM4fvv/+eZ599ljvvvJM1a9Zw6qmn0q5dO2JiYujbty/33HMPu3fvbuAhiwhA69BAbFYLTgMOHSnxfWADBu4VFeVrmG2Hitn2hAHgV0vLuFoMTYwmITKImj5fDfY3f7T93XE1X5WZqflX2H4i0ZoBwEZnIk+U3sA3F/wAiWfC71+ZmQxtytvpLX/Jd7V58amu2RAH8+0VhelcgTtAj9Hm/e9fmVkaIiIi0qK4WsGponx1R1VVvnfv3ixdupSUlBQ+/fRT0tPTOXToEIcOHWLBggWEhIQwaNAgFi5c2FDjFZFyNquF2HAzCD5Qw5pvQmPM+4aYcXdVlK+tMF09rW8H87qnj+kFUC14t5Tfxo/s4t52V9k9OA3zyDLDyqjiF7m05CnecVxMz4wF7poBjJwM3ctnfOP6eK82LzWqazZEbKh/xRr3+L4VO04aZWZlZO+GzG31P0ARERFp1twz7r7Wt4MC95r8/vvvHDx4EICgoCA++eQTkpKS2Lhxo/uYxMREnn32Wd555x1eeumlhhmtiHiIjTADpZoD91jzvgED9x61Faarp4ryLqP7JDBr7CDiIz0DxfjIIGaNHcRdZ3dzz8rfYfscq8Wg2PDDz+LkEutKLJhVzttHBngWoutePuOblwZnTfFeM0B8qi0bwvV1HxqVB6WF4BcM0SdVHBAYZmZAgDnrLiIiIi2KWsH5VqfidG+99Rb//Oc/uf7667nyyivx9/fnySefJCMjg4yMDI9jQ0JCuOeeexpksCLiKa5OM+4NkypvGEalVPkaAveSgoq06D9YmK6y0X0SOK9XPKtTsjiYbyc2PIihidHYrGbYOH1ML5LnPcb9/vN5sfRqXnNcyd22T5nkPx8L0GvMk1j7nON50vZDISgKirLN4mgdh9fbeFsCVzbEhLlrfR4zfUwvbAd/Np/E9gRrlcIz3UfDju/Mde6n39eAoxUREZHmptZWcIbRYmfc6xS4v/DCC4wfP57Zs2czbtw4cnJyGDJkCG3btsWosg7RbrdTWlrKFVdc0SADFpEKrhnnA3k1FIl0p8ofqtf3PnSkhOzCUqwW6Bpbwxr3/evAcEB4W4hsV69jsFktjOjS2uu+0YfnMNp/Pm/ZruM1+6UAvOa4EqsF7vefD4d7AFWqx9v8oOu5sHm+2U9cgftRG90ngfEjuzBr6c5q+64Z3MFsBfeDl/XtLt1Hw5cPwL7VUHAYQr3/+4qIiMiJxeE02OcuTucjVb7gEJQWABaI6tB4g2sG6tzHvWvXrjz77LM8/PDDzJgxg3fffZexY8eqJZxIE4qrU6p8+Yz7kYP1+t6uNPlOrUN9t+uAek+Tr7Py1nk3n/EgfVOySMsuZPrCLfy9+ErG9G9LV19p8N1Hlwfu38C5jzfqkE8UJQ4nAOf0jOXS/m3ZkJrDv37azY/bMykucxBYtRVcZVEdIK4vHNgE27+BAdc34shFRESkqRzIs1PqMPCzWkiIrBS4Jz1jZuiNnFwx2x7Rzix4vHRm+d98XjornWCOqjgdQFRUFC+//DLz588nOLiGogEi0uBcxekyagrcw8rXuBceAqez3t77qCvK12OafJ2Ut85zzcpfPbgDfxneGYBpORf7/gHf9RywWOHgFsjZ23jjPYGs2nUYgMsGtOOyAe2YPPpkYsMDSc+18+naNDMoB4j3ErhDRZHA3822cA6nwcqdh/l8fRordx7G4WzCivNJz/guWrh0prlfREREjpprfXu7VsHupY+AGbS7igZXTpNfOtPcXnXZ3QnqqAN3l3PPPZebb77Z675FixYd84BEpO5cqfIHa0qVDylPNTac5trtelKnwnSGUTHjXg8V5f+ov4zohM1qYcXOw2zNyPN+UEg0dBhmPv7968Yb3Akit7CU5HTzazs8MRqAIH8bt5dX+n8/aUPFByLeUuUBelxo3u/4nq837uH0537g+rdXMfGj9Vz/9ipOf+4HFm9ON49p7EC68h8P1d6r5fzxICIiUlc1fgBf6fd4atX17a7f4yMnm8WEk56CX/9l7ivO8+wM1AIcU+But9tp1aqVz/1/+ctfjnlAIlJ37lT5mvpn2/whuPz/az0WqNtWl1Zw2bvNmX6rPyT0r7f3PlbtooK5oHccAO/9tNv3ge4ZXwXuR2v17iwMA05qE+ruegDw56EdaR0aQFjO7+aGiPYV35dVtR1kdkMoyWfOR/NIz/X8/s7ItTNh7lozeG/sQLryHw9LnoX8AxXv1YL+eBAREamLxZvTa/4Avvz3uHPJc6zcadZjCvCz4FzynPm7tTgf1s6BwzsgIBz2rDBfl7Gxxf3erfMa98qCgoKwWj1j/tGjR7tT5x0OtVASaQxx5X2zcwpLsZc6fK81D21jzrYXZAIn/+H3NQyD3zPqMOPuSpNP6A/+devx3dBuOi2RLzdl8Nm6NB4afTKtQgOqH9R9NHz3OKT8aFbFDwht9HEer1xp8sNP8iwqFxxg45YzTiLtWzMjy4jr7bNtHFYrzm7nY10/l3Osa1nu7Oux28BsLTdjYTLnPfQgNjB/uZcUwIA/Q/LnDRtIj5xsZpMseRqWlM/ot7A/HkRERGqzeHM6E+aupeoCN9cH8LPGDmL0yMlsP5BPtyVP07b0d+I4i6t3vIJ192pK/MMJWPUP7ye3+be437tHNeMeEhJCq1atiI6OJi8vj5NOOol+/fqxZMkSfv31Vy655BIuvvhiQkJq6LsnIvUmItiPIH/zv3GN6fLuXu71U6AuLaeIghIH/jYLnWNqCGrdhekaeX17DQZ3akWfdhEUlzmZ94uPNextTobIjuAoNoN3qTNfgTuYSxUG+KcCsN3Sqcbz/B55OgDnWNdCtV/55pb0XDurU7LMX9xDboWfXoF/DP3DQXud1tSHx1c8tlhb3B8PIiIiNXE4DWYsTPbyG7zit/qMhcl8uTGd89cO56XSq5jkP5+fg+7iIj/z78eA0nycFj9zCeMZD5gfzgPYAsBR6nup3AnqqAL3wMBA0tLS2Lt3L1FRUaxcuZLRo0czZ84cwsPDufnmm7nllltUtE6kkVgslrqly9dzSzjX+vYubcLwt9XwY8RdmG5wvbxvfbBYLPzfqYkAzFm5hzKHl4J9Fku1AmlSO2/r2ysLC/TjtPADAHySGomzhiJzO8IHU2z409GaSTdLms/jDubbIXMbJP+vYqPV75gD6VpT+gCy95gt61wMZ4v740FERKQmq1Oyqi11q8z1AfzdH63DANYa3d37nAa8UXYJN5Y8xLn+7+O46Wuzgvz6D80P5qdmVixba0G/f48qcLdYLISEhBAWFmYGDHFxXHfddTz00EMcPHiQa665hj/96U/k5+c31HhFpApXunxGDT8c3S3h6mmN+7aMIwB0rylNvqQQDmw2Hzd2RflajOmfQExYAOm5dr7ecsD7Qd1Hm/e/f2OmRUutfK1vd3M6ibfvAuCHnFi+3pLh81zh4ZGscPYC4FzrWp/HdTT2w/tjPL+3nWU+f5HXNJvuSumrcU290wnvXQKOEgiLqziohf3xICIiUpODNU0oVeL6PTzV79/mc8OC1QIFRhBLnf3ZlWch7fMZ1bPpKtecaSG/f48qcDcMg+XLlzNu3DgAiouL+fvf/07nzp0JDw/nzjvv5M477yQoqHmsZRVpCeIij6KXez0F7u6K8jUVptu/zgygwhMgsn29vG99CfSz8eehHQF496cU7wd1Ph38QyB/P2RsasTRHb9qSpMHIDsFS2kBpdZAdhvxvPbDDgwvH4pk5hfz4re/871zEADn2KoH7hZgcEQOA34YB0fKP3zpeal5HxTl9Rd5TbPpdU3pc374J8jdaxZc/OtiiOlh7ux9ZYv640FERKQmseF1jwcfss2jh9XMrru45BleLL2aSf7zudv2KQCF9mLvS+BcwbuzZdRXq1Nxuq1bt/Laa68B8O6773Ldddfx1Vdf8fbbbxMQEEBAQABBQUGMHDkSAH9//4YbsYh4iCvv5X4wv4Y17mHlgfuR+ppxd/Vwr0NhuvaDzdTzZmbs8E7MWrqTNXuy2bQvl77tIz0P8A+Ck86CbV+a1eUT+jXJOI8ntQbuB7YAYGlzMkHpASSn5/HPJTto3yqE2PAghiZGk3LoCP/37i/syy6iIGAw8C6DLNuJJo8sIszXA+3IZI7fc1jy95vnPu1eOON++G0h2HPg1HvMQBpg5OQaC+SMn7uWMf0Sak3pC8nbiWVnkrnhwucg+iRIPAMObTPbLragPx5ERERqMjQxmoTIIJ+/Wy1Aq1B/brD/hwn+CwFY5+zKVqMjWx3m5Mok//kAZA+dCV18/G3RgmrM1Clwt1qt5OTkYLFYmD17NpbyP8J79erF5ZdfDsC+ffvo2LEjhmFw5MiRBhuwiHhyrXFvrFR5h9NgR6b5f7xOFeWbWZq8S2xEEBf3TeB/6/fz7ooUXrpmQPWDul9QHrgvhpEPNvoYjye1rW8H3Esn/Nr25dTQGL5NPsDzX//u3h0dGkBRSRlFpU46tQ5h9k1nkTfnNSJyt3KWdT2fOs8EoG/EET7yf57ggv1mS7mBf4HzZpgnie9jZki0HegOpOsym75wY7qXvRVsOHjR/w0shgO6nA2D/2ruSDwTfpkNu5fBnT/X5UslIiJywrNZLUy9uBd3fOg9aw7gycv6kP6/j8kuC6WVtYAPHWe7j3nNcSUWIDLIylBff1e0MHVKle/evTsffPABJSUlfPHFFyxYsACn08kpp5xC+/ZmCmy7du3YsWMH27dvJyoqqiHHLCKVNHaq/J7DBZSUOQn2t9G+lY9ClIbRLCvKV/V/p5lF6r7YkE6mt4yFbueb92m/1lu2womq1vXt4J5x/83ZkW+Tq9cWyCoooajUyUltQvl0wqkkbnqViCjzE/bJJ5lLGmLJ5rPQZwkp2GemxE9YAec/UXGSjqea93tXlqfQTam1QE5djLctZIB1J2X+4XDp6xVZJJ3M6vdkboUj9dO1QURE5EQQFmTOEVdNvIyPDGLW2EFc1K8tfU+/mFbWAvKNYL5wDHcfY8EM3ttf8Tds1uaXudkUjqqPe0JCAlOnTsVisZCbm0tCQgIXXXQRr7/+Ok6nkwMHDmAYhtc1iyLSMOqUKu8O3P94VXnX+vbucWFYff0gzdljtp6z+ps93JupAR2iGNgxinV7c3juq62c0T3GnbJts1ogoq05/vQNsOPbijYkUk2tafLgrhXwenJgjecqLHEQFRIAVhvs+QmA+IMrGBr9J54+8hS27PL0+IFjzX+jyjqNgNVvmoF7uboWyIkK9ie3qLTazHwvy24m+v0XAOvFL0Bku4qdoa0hro+ZTbB7GfS5qk7vJSIicqL7bJ25bv36oR0Y068dB/Ptnn9nAUMPLwDgW9uZFFHxwX98ZBDTx/RidJ+Exh94M3VUgfv27dsBKCsrIz4+nh07djBx4kQeeOAB0tLS6NWrV4MMUkR8q5wqbxiGeymLB1fgXpIPpUXgf+wtG+tUUX7fGvM+vu8feq/GMLCDGbjPX7uP+Wv3AZBQ+ZdFtwvMwP33xQrca1Br4G7PMz/QAX7Kj/d+TLmM8v7sI0ZONrM3ljwNJfm843iAcGuOedDwO+CCp6q/uOOI8pNsBnsuBEXWuUDOTacl8sp3v2OhIoU+gFJe9J9FgMVBRtvziO9/bfUXdj7DDNxTFLiLiIgAFBSXsXiz2T3m6lM6MKhjKy8HHYKtXwBw2c2PkGDv4DW4F9NRVZV3KS0tpaSkhKioKN59911efPFFHA4H+fn55OfnExYWVt/jFBEfXIF7UamD/OIy7wcFhoOtfJbzD6bL16mi/HGQJg9mlfF3f9pdbbtH+y9XW7gdP0BZSeMO8DhRp/XtB38DoCgojhxq+N5xHe6aJT/rIXfWRrgjB4CvQi+H0c94f2F4PLRKBCqWa7gK5Phiwfyw5q6zuzJr7CDiKx070e+/9LSmUhwYTfyfZ3kvtJh4hnm/e1mt1yUiItISLN6cQVGpg8SYUAZ2iPJ+0IZ5ZnvVtgOxtRvAiC6tuWxAO0Z0aa2g3Yujbgf37bffEhgYyNKlS80TWK3ExVX0si0qKuKiiy6q31GKiE/BATYiytcQHfS1zt1iqbd17tvKA/duNc64lwfu7Yf8ofdqSHVt/+VIGGB+7UryYe+KRhzh8aNu69vNNHl76551OqfHLPnZ09wPSwwbD+Rf79F/vZpO5evc95j/XjarheljvGeEuf4smD6mF7alzzL68ByWP3Q2824dzhsjHYy3mZVuSzqcYRah8/l+Fji8A/L21+XyRERETmiuNPkrBrbzng1qGPDre+bjU/6v0cZ1PDuqwN3hcHDppZditVoZOHCg12MWLVrEtm3b6mVwIlI3FenyNa1zjzHv/8A69+IyBymHCoAaKsqXFlX0PW/GgXttBcsMID3XzurdOWa6PMDv3zTK2I43dVrfXl6YLrLzQBIig/D1Obpr9tujgmzarwAYNn8CLA7+6vjEnfnhlStdvtI699F9EugWWz0bzFUgZ3SfBHNNfdJT2JY9z4gOwYze/jg2i8EWZ0fCd3xu7vcmuFVFu8AUzbqLiEjLlp5bxE87zb83rxjYzvtBe34yP/D2D9Uyszo6qsDdz88Pi8XCrFmzWLRoEampqR77DcPghRde0Iy7SCNzBe41VpYPizXv/0Dl612ZBTicBhFBfsRF+Cgwtn89OMsgLA6iOh7zezW0uhYsO5hvh+7l1eV/X9yAIzp+1a0wndkKzhrfxz37XTV495j9dqXILZ1prnEf9SiWqYf4JGIck/znU/LDs77fyzXjnvYrlJr/zkUlDvYcLgTgpWv68/frBjDv1uEsf+jsisI3IyebLeSSnoL3x0DWTkr9Qult3ctbtutwnFFDS8DOrnT5H30fIyIi0gJ8vn4/hgFDO0fTITrE+0G/vm/e973aXNIptTrqNe42m41NmzbxxhtvcPrpp3PSSSfxyCOPsG/fPh588EFKSkp44IEHGmKsIuKDO3CvKRith1T5yuvbvaY9gWeavK9jmoG6FiyLDQ+Ck0aZFfKzdsKhHQ08suNLnda3O51wMNl8HNeH0X0Sqq0lhyqz32AG7UlPmcH0yMkA7O1zFy+WXk3/7f8w93sTfZL5/e4ogf3rAFizJ4sSh5OEyCCuGNjO9xq6kZNh2ARIMwss+pcV8DrX8HTBpe4PKLxKHGnea8ZdRERaMMMw+LS82O8Vg3zMthdmQfLn5mOlyddZnavKFxcXExgYSFBQEP/85z/d27dv386DDz5IYmIi8fHxrF27loCAgAYZrIh455r9PlBTr+p6SJXfluFqBVfT+vZfzPtmnCYPFQXLMnLtXte5WzADyaGJ0WC1QOfTYNcSc9Y95q5GHm3zVaf17Tm7oeSIWSCxdVfATF0/r1c8q1OyfFeQdTo8gnaAQR1bcZPjSlqFBvBXp8P7+1ksZrr8bwvMugSdRvDTDjPoPrVLjO8PnVyCK1W+tQWwv8898PNe/rt2H6d1jfH+mk4jwGIzK+fn7G3W2SYiIiINZcv+PH4/cIQAPysX9fXRym3DR+Aohvh+0Nb78muprk4z7gUFBXTr1o23337b/QfP+vXreeWVV7jllltYvnw5N998M7m5uSxatKhBBywi1VWkytell3v9zLi7JT1TMfNpGJBaHrh3GFo+Y+qj+ncTq1ywzFcY507ZTnrGnHEH2P6150HN+Bobw9Gsbyf2ZLBVfF5ss1pqriA7aopH0A4wsGMUAH/Lu4SsoZN8v6e7QJ25zn1F+Vq7U7vUME4wv4d/fsN8bPUDRwl3Ws0e7os3Z1BQU+cG1x8fmnUXkeNJ+e9xh9Ng5c7DfL4+jZU7D5tFQFv47zg5ep+uNYvSndczjshg/+oHeBSlu7FZZ2c2N3UK3G02GzNmzODjjz8mNzeXV199lTFjxrB27VomTpxIWloab7zxBh9//DH33HMPGzdubOhxi0glR5cqf+xr3F0V5T1m3MsLerF0JuSmwpEMM+DZmWRu91XQqxnwlbIdYLN6pmxbbbDjW/PxnhVmf3CoSOVuxtfY0I4qcI/r84ffLyokgC5tQgFYtzfb94GuAnWpP5N7xM7mNPPfzOeMucui+6Eoy/wenpwCox6l3bqXmRq+kMISh7snrVdqCycix6Py3+PvPDWe699excSP1nP926t456nxLf53nBydMoeTBRvMwP1KX2nyqT/DoW3gHwJ9/9SIozv+1SlVPigoiJtuuombbrqJzZs3M2PGDPz9/bn88su58sor3ceNHj2au+++m3HjxvHrr79is+k/ukhjqFuqvCtwP7ZU+YLiMlKzioAqgbtrRjTpqYoALbQN/DizWppzc1Q5ZTt5fy5PLPoNh9PpGeBVvkZnGez8AQ5tr7b+uqWp0/p2qOgyUA+BO5jp8jszC1i7N5tzesZ5PyiuDwSEQ3EeWzaswlmezl/1QxoPS2fCmn+Zj3uOgaAI97/tzUlPkWMr5dN1rbnqlPbeX9/5DFj+sjnjbhiaRRCR48Li1n8huXQb9/MRRbZivnOewlnW9dzmmM9LpVfTq/VfGF3XkyU9Ywb63n4vLp1ZvgRqSn0OX5qRZdsPcehICa1DAzizexvvB7lm2/tcCUGRjTa2E8FRF6fr06cPn3zyCe+99x6ZmdVTbidPnszAgQNrX0MoIvXGNeN+ML8Yp6/+1n8gVd7hNPi0vB9nZLB/9dQnVzXu5P+Zz/PTj6uA1pWyffMZJ5EYE4rDgOXbq3zAMXIydBhmPp7/1xYftEMd17dDpRn33vXyvoM6mWvQf91Tw4y7zQ86mHUWsn9bAsBpXWqZbXeUQkB5y7jKswAjJ5M7/EFsFicrdh5mf06R99d3HG4uqcjbB9kpdbkUEZEm5XAazFiYzKuOK3mx9Gom+n/GwsDHmOQ/n5dLr+I1x5XMWJhsps3XReUsvMqUodYiuP5WHNO/Lf42L2FmUTZs+cx8fMpNjTiyE0Odi9MNGjSIoCDPP8wMw+D999+vdmxxcTH/z955h0dVZn/8MyWTkE4SUggtQKgBAkhVQVAUC2BhVdR13V3dVVddd13x565l1RUUV127a1l7WWWxYMEGhA7SCaGG0BPSSG+Tmfn98c6dksxMJpA6nM/z5Jmbe9+5JWXu/b7nnO/R65s9JyAIwinSLSIYnQ7qrTaKq+qIC/fQqs014m61gp//o0syc3lkcZaj53lptZlznlzKwzOGOFPJASbcoW7KoNKMO6mgnTIwnpzCHJbuzufihqYqUx+Edy4DmxUMpk57jS2FX2nyteVOEduCEXeAbUdKqbdYMXp6OADoNRGylxKW9zMwpun69pRzVaZISBT0v8BtU9T0B1hzaC22nGI+23KMP0zp3/j9pjBIHg1H1qmoe0zfU7g6QRCEtmNDTrHj/r7d1s9t21D9QUyWOnJL1bgJTX2GgnuGmva9hw4hQuBRVmPm+52qnMxrmvz2T6C+BuKHqvul0Cz8Fu4vvPBCI+EOSrzPmTOH999/H6PRiM1mo7bWh0GWIAgtTpBBT2xYMIUVteSV1ngR7vZoo82iZjzDmr4BL8nM5bb3NzdyXc8rreG29ze714EvusU5wFqvbtSd8AY9dVA8/1mdw7I9BVitNvSuhmkHVzmXLXWd9hpbivU5fgj3/F3qNSLJr785f0iNDyci2Eh5bT2788pJS/aSatdb1bkPNmei09mafujc8al6HTILjI3/h2aP6sGGnGIWbT7K7ef185xZlnKuXbivUKY7giAIHZh8uzeODisLjP8GwGrTodfZuNCwiXd1T3Bz3V8c4/xi8lwlzpY9Dsvnq8luEe0Bz5IdedTWW+kfH84wT/dlN1O6m6Sc7BTwW7ifffbZ1NXVodPpCApyT5MdMmQIdXV1jBs3rsVPUBAE/0iIVMJd3Vw9fGAaglSbq+qTKl2+CRGlpc95So6zoZzYH1mcxbQhiRhWPgW7v1IbL/i7Sjl2nW3vRIxNiSHMZKCwopadx8sY1sP+s8xYABlPqFni/J0qLbqTXmNLUFptZufx5tS3t0yaPIBeryO9VzQr9xWy5fBJ78I9eTRWnZEESjg/oYroUB+tSutrnT1lvZjlXDwskQe/yCS7oJLtR0sZ0TO68aCUSbDiKWVQJ3XugiC0ARarzXdrTR/ER6ig3PPGF0nQl1BrMzK+9kX+z/gR1xgzGKffzX9Nj1Fl/MT/E9qzRLX7AiXaO3EWnuA//9N6t49Mdk5su3oeHN0I+VlgDIHhV4vnwSnQrHz29957j+DgYAwGg9vX4sWL+fjjj1vrHAVB8IPEFm4J55o+5wkbkFtaw7EvHnFJkQ+C9BucNe+e6tw6OCajnnNSVXbC0t12B37XNL9z/6zWVZ3stNd4ulisNt5bexCbDZKiQoj1lOGh0YKO8q5o6fKbD5d4HxTUhcMhgwC4vOth3zvc/6PqFhCRBL3P9jgkIiSIi4YmArDI/oDSiB5jVb/6ihPKwFAQBKEVWZKZyzlPLnVzgz/nyaUsycz16/1jU2L4W9gXzDCuA+Dl+lmcJJL76n/Pe/WqZGiI/hCjf7oWipvw7qgoUB4wH10DZcec67UsPCHg0FoIvrU6h/U5xQBcPtIlTd7V80CLtg+9Aja8Jp4Hp0CzhPsvf/lLKioqqKurc/tavXo1d999dyudoiAI/qCZg+X55SzftHD3Ny2uqqbW2b968AwItx9DE+9Wi1/76UhMHRQPwNI9duFutTjT/PpfoKIHhXsg7apOe42nivaQ+M/v9wJq8sbnQ2JrCffemnD3blBns9lYVZcKwGjdbt871NLk067y+SChOcp/ue04dfXWxgOCQqDnWLV8cIXvYwqCIJwGWjlbw0l2rZzNH/Fu0OuYGa/udcW2cN60XOzY9mD9b3ij/mKqDeHoTubAK2fD1/c03onNBv/9JfwrDTL/h8rJQwk0gOCIgJvk9tjz/gzDddLokcVZgGqnu+NoiXOQayBnuz3IawgSz4NTpFnC3WQyERoa2ijiPmHCBFJTU1vrHAVB8AOtJZxPwa3Vufsh3LX0uaYoHXmrM7J41m/cN06e2ylToKYMVMJ9+9ESCitq1TVoN5cu0c6I7J5vO+01ngrNfki0WlvcUV4j3Z6mfqioSv2OPHC4uIql1cpsKaFks/ed1ZSp3yU02VP27H6xxEcEc7LKzDJtYqchfez93HOkn7sgCK1DU+VsgH9u8OYaYsrUxOZL9bOoINSxKSzYwD/qf8mllqcxxw0BcyX8/AZ8cYfz/SWH4flRsOtLVdceFq/OYMrf4PJXIShMmZSe9ZuAEe+nm+UQCHh7HqizWBs/D0yeq8xirfWADja/K6L9FOkQ1u/Tp0/n7bffBiAjI4PBgwcTFxfHM8884zZu4cKF9O7dm+7du/PRRx+5bXvppZdISEigb9++LF26tK1OXRA6DP6lyitB6o9w7xMbitFHjZwOlSY9pvwnqKuA2FToc05zTrnDEh8ZQlpyJDYbLN/j4Wc10B6R2LukbU/sNDjd6MApPSSWHoa6cuXAH9eyk7tRXYJIjVet2zZ7aQu3en8RG60DsKJDX5wNFV6E9u6v1QNnbCokjfB5XKNB70gDfGPlAc8/zxS7cD+4SkWiBEEQWhh/y9k22NOXvbLxTYIqczlui6Fo8I18dMt4nrs2nY9uGc+mB6Yxomc0B2oiuFn/CLae49V7trwHC38L615Vov3kAdAZVOeV0b9yirKgEEi1d+gIjQ2IDLWWyHLo7Ph6HtBwex7Y/xMcXmvfYpOuPKdBuwv3Dz74gO+++w6AgoICZs6cyZw5c1i7di0ffPABy5YtAyAzM5Prr7+eBx98kO+++46HHnqIPXv2APDdd9/xl7/8hddee43333+fm2++maKiona7JkFoDxJaMFX+SHEV176+jnov4k6T8w9fNhj9xv+ob876TUAZcU21R92X7fYg9gZMV6+H1kBVEw9FHYAmowPL5nuPgmQsgGXzT+0hMS9TvXYbqFLjWpim6txXZxdSRjhFofYWR44HhwZoafLDfuHX37D2v/bzwZOef57Jo8HYBaoKna76HYgmJ3H8+HsQBKF98beczee42nLqM/4JwPP1V3H7tKFM6BfLrPRkJvSLJSTIwAvXjiQ82EjGYTMvJj/lvP9lLoQl94HVDFE94Q/rYdJfYOoD7qJs0GXqdffXnT5DrVkT2AH8Odqs54Gy4/auQ/afkMHk7MojNJt2Fe7FxcXcc889DBw4EFAivnv37jz44IOkpqby0EMP8eabbwLwxhtvMGXKFG6++WaGDRvGHXfcwXvvvQfAK6+8wq9+9StmzZrFxIkTmTVrFp999lm7XZcgtAfxzUqVL3SsavgQvyevnF+8upZDRVX0jOnCPy5PIynKPW0+MSpEtYLrehxO7FAOoSOubfFrak+m2OvcV+wtwGxpUMsckwLxQ1Rrvf0/tsPZ+Y9f0QFX8xhXNFM+vcHvh8SuG/7p3I8jTX6Yy/5a7mFltI86d6vVxrpsNYFr1aJEh9c13klFPhxYrpaHzW7ymEsyc/nHV1mN1rv9PI3B0MveZeVgx0qX9yvF04+/B0EQ2hd/y9l8jlv7EsaaYrKtSVQOvoYBCRGNhvSKDeXxK5RHybMZR1g/9jkYMcc5QG+AP273nlWVOk1F4/OzoPiAX+fcUWmWYA3gz1F/nwcKSivgfzdDlT2YOuk+eLDgjDX2bQn8bgfXGtxzzz1cccUVVFdXA7Bt2zamTJniaCEwduxY/u///s+x7eKLnYYZY8eO5dFHH3Vsu+6669y2rVixgptvvrmtLkUQ2h0tVb6wog6zxUqQwcO8nBZxt6cML8nM5ZHFWW43Ir0OrDboHx/O+78dR2JUCHPG9vLcaubzx9Sbhl4JoT5agnVCRvSIJjbMRFFlHRsPnmzcA3zgxepBZM+3qq1JB8Tvln733YsB3NvbuTrpT55LfLZ/WUyhIcHO/ZxwaQXnur8WYlTvaEB5ETT8m99zopyiyjq6BBmIHTwZ9ryvMiQasvNzNQGTPBpi+/k8XrNaJPY5V00I5KyAcb8/xStsWbRJnIbnr006vHLDKKanJTmjZT7+HgRBaF/GpsSQFBVCXmmNx88kHWqSfay3dp2VRVhXv4AeeKb+F9xx/kCvx5qVnszKfYUs3HSUuz/dyY+jexIGWHVB6K1mrCueQn/efZ7f3KWrKqPLyYDd38DEOzyP6wQ0K8vB9XO07Dicczds/yQgPkf9nTQadeBVOLRafTPuNpj6V7Xs6R4j+EW7RdyXLVvGTz/9xIIFztmWsrIyUlJSHN9HRkZy/Pjx09rmidraWsrKyty+BKGz0zXURJBBTXrll3upcw931rh7i8RqWbO/n9SXRHuk3aDXuaXPGfQ61Q8+839q8Fm/bvHraW/0eh2TB6iJDo8mZAPsE4n7f4T6ujY8M/9pVnTA1fn1ka6NHi60h0RvieSa50HyrIed+zm4Sm3M39kqDyt948KJDDFSY7ayK9f9c3z1/kLHeRtT7GaCeduVSZIrO+y9iZswpYNm/jxTJquVB1cpk752ptkeBZPnwoQ71O/t0diAeNgUhEDCoNfx8IwhXrfbgIdnDPHez33VM+jNFey09sYyaAaDkyJ9Hu+RmUNJiQtjdsWHhK1ZwNPm2fStfoenzbPRL5/Hvk8e9P5m13T5Tkyzsxwmz4UxN8Omt+C5EQHzOTo2JYb4CO9tYHXA5RG76JH5slox5HK4+An3QZ2481B70i7Cvaamht///ve88sorREQ403KMRiPBwc4/hJCQEKqqqk5rmyfmz59PVFSU46tnz54tdm2C0F7o9TrHzeJEmRdxYY+42yoLfRqL6IBnftjr28Bs28fK0CshDXqMOfUT78Bo6fJLPdW5J49WP8/aMueMcgej2TWQk+5Vrzarannn8nChPSR6i+yAy0Pi5Llw7j1qcgdg64et8rCi1+sYqdW5NzCoW2vPEDi7fyxEJUN0L3VdRzY4BxXnwNGfQad3ti3yQbN+nt3TwRQONSXOzIN25JQ8Cmz2CQdrvZgJCUIHZHpaEq/cMMoxad+QLiYvibWlx7BueB2Ap+qv8Rlt1wgLNrKg2xLuCVrI0+bZvGC5EoAXLFfyjHk2qVnPexfvgy5Rr0fWqV7vnRR/J7Ddshx0LinxDe6rnZXaegvBQZ4lpA5IoJgFuhfVirN+C1e/43lHndzzoD1oF+H+2GOPMWbMGC699FK39TExMRQUOP+hy8vLMZlMp7XNE/fffz+lpaWOryNHjrTIdQlCe+NoCedVuKsad11dOcWl3jNNmnSjtdnAYUr364AypXNl0oBuGPQ69udXcKS4wWSgXu806emg7vLNjg587/LQZa1vVH82PS3JkYXgisPzIC3JuTLO5UGwFUWfJ4O6eouV9fa/3Yn97L4OvSaqV1eDusyF6jVlEkQkNnmsZv08DUHQa4Ja0QHawjV7Esdihk1vOzeImZAgdEimpyXRNy4MgNvP68dHt4znhvG9APjLp9so8tQuM+NJ9JZa1lsHYRwwjbTkqCaPY7Ha2Ha4yE20azxvF+8Ze/I8T/hH9VAdO2zWDnu/9IemshygQZZDfS1sdhGt1npY/mQrnmHrY7HauOujrRwpriY82Ei3cPfIe3JkEN/0eBtT3UlIHAYXzWunMw1M2qXG/cMPP6SgoIDo6GgAqqqq+OQTla44ceJEx7gtW7aQnKza7owZM4a1a9fy29/+1uu2888/v9E2TwQHB7tF6AUhUGjSWT440uHoGUcpx2gswlzx+rB/aA0U7lX9WYd1zPruliCqSxCje3dlQ04xy/bkc+OEPu4DBl6s2uLs+QamP9HhJjCaVQOZsQDWvuCy0eCx/uzoSTWB8edpA+gdG+rueeBKxpPO/WiirxXEu1bn7mpQt+1oKRW19USHBjFES//sPQG2f+w0qLPZYLuLm7wfNLumNOVc2P+DMqhr57rOZk/ifHYbmF0mq1ImSz2iIHRQKutUuvEFQxIY1asrI3tFs/5AMfvyK7jvf9t5/cazHP5RFO7HtuV9dMAC8zU8dP4Av46xIaeYf1Re7nX785YroRKG5hQ39oQBlS6fu02ly4/6ZTOvsOMwPS2JWyf345WM7Ebb/nbpYPcJ7M9uU5mJpjB1L6wtg+Xz1LNCJ/0cnffNLn7cdQKTUc87vxlLes9oNw+kcQdeRL96I5gi4BfvqJaAQovRLhH3lStXkpmZydatW9m6dSszZ87k0Ucf5fDhw6xevZoff/wRs9nMggULuOiiiwC46qqr+Pjjj9mxYwcVFRU8//zzjm2zZ8/m5Zdf5tixY5w4cYI333zTsU0QziQ04X7CW427Tufo5R6ra9rbwevDvhZtH/4LCPFdF9fZmeorXb7vecpRv+SwMqrrYPiKDrilt698Somyfuc7B9gsMHimm/PribIasgsq0engVxP6uHseuPLj36HY/lBz+7pWdZBN7xmNTgdHT1Y7Mk3W2OvbJ/SNRa+dmxb9Pvqz8iQ4kQmFe8AQDINn+HUs15+ntykaR7Rl2XyVig9qostS7xzUDq2AmpXimbEAMu2TGpH2SfDacnECFoQOSmWt+nyJCFbxuJAgA89dOxKTQU/avpfZ/oGLKejyeehsFn6yjOT6+IOM2P+KX8c47fZzg+xZtgeWQV2lX/vqqBy2Z+BdkpbIc9emM6aPyvwqqnTxu8lYADvtPkBjblH97QGie3eaz9GGXYfeWZPDm6vUfW1x2kpGH3zd3QPJugX96mfUm/tNbdLwVWg+7SLce/ToQZ8+fRxf4eHhxMXFERcXx7PPPssll1xCQkICe/bs4YEHHgBgxIgR/PGPf+Sss84iOTkZg8HA7bffDsCMGTM4//zzSU1NJSUlhZEjR3LllVf6OgVBCEgcwt1bqjw40uVTw6qbV6elUVEAWV+o5bN+c+on20nQhPva7CKq6xqYqJjClHgHFXXvgExPS+KJK4c1Wt8tItiZ3m61KFEWYY8UBNvTJutr3cxj1h1QdeNDu0cSFeqlL3vGAlj1rFpOHAbdBrgb37Xww0pESBAD7S2MtKj7Gnt9+0TXqE/cAAiNVdGP3K3K3RdgwEUQ0nSaqIZWU5rYoEViSJDevVxAb1CGRIZgFWXJ26bWt1MrIF8eBRqOSYfaClX3DzDzBUAHxzfDyF+KmZAgdEAqa9X/ZFiwM5F2SPdI5k4fiMWmZ8T+lyj8+lG2/bzSYSp7zBbLlaXv+P1ZdNrt5+KHQNc+6jM4e6lf++qIlNWY+WHXCQBun9KfWenJ/GpiHwAWbzuOzWb/lK0pxTHFm34djLtV1biXHILRv+7wn6OeWoc+/KUKUNx70UAGJkW739NLj8Fnv3PuIDGt7U/6DKBd+7hrvP3229x0000A3HrrrezZs4cPPviA7du3k5CQ4Bj3+OOPs2XLFhYuXMiaNWvo0qULADqdjvfee4+MjAy++eYbvvzyS2dKkCCcQWg17r6Fu0qPvyk9zD+jsYZs/QCsZug+StWsBTip8eEkR3ehtt7KmuzCxgMG2t3l93Tcur2kaPVZmRQZQp/YUADuviDVKTKn3K/EdcEu9f2EP6jX7KUw9haHecya/ZogjvN+MKtFRRQA0lz6oreig+xIlzr3GrOFTXYBP7G/y3nqdM6o+8FVzo4IfqbJuzI9LYlV903lo1vG88fzVe9ik0HPtCEudfLa9Vrs2S85K9u9pdpFQxNJimr8UG0yNph0iO6palETh0H/86HHWWr93iViJiQIHYzaegt1FmUk6SrcAX5zdgpb+/6Op82zifv5aSIWqzbJu609udH4I/uG3OX3Z9EpGbO5DdDBQHvUvRO7yy/JzKOu3kr/+HCGdlcZh+cPSiDMZODoyWq2HClRAyMSARsknwXdBqo6/7Sr1Lbasg79Oeqt65BG37gw9wn5ZU/A/37r3q+9k5YCdHQ6hHBvSEpKChdffDHh4eGNtg0ZMoRp06Z5NJ8bM2YM5513noh24YzFGXH3kioPDuE+LKqO6WkJjTZ7NBrTsFpVFBHOiGg7qIlBn+nymkHdsY1QfqINz8x/9uSpFmgje0czK12lPq/e36Avu9UK+bvV8tDLVXTEanZ7wFpzwJ6C7ql+UWP0Tap0ACCtQeZTK4m+Ub2iAeUsv/HgSerqrSRGhjgMmwCVmm6uVssbXoOyY8rzIfXCU0pd19ID75zan6guQZTV1LPlsLuzPZPnQv8L1PKPf2/3VkDL9xaQW1pDmMnAm786iwcvGwwoM78JfV0mObZ+qF5HXKdeHZNTHTOrRBDOZLRoO0CYyT16rtfruGxYEi9YruRV82X01edhs8Eg/RGeNs/mws3jWZKZ69dxmioVarL9HDjT5fd8614+1In4fMsxAK4YmezQG11MBqYNUc9TX249rjxUtM/Rkdc73zzB7nWy83M4eaitTrlZ+GodCup3/+hX9tahmnjPmO80fnXt1y60OB1SuAuCcGr4lSofbjekqyyksFzVY/1+Ul+euzadj24Zz6r7pnoW7aBq004eVKnUDUVZAKMJ92W7851pcBoRiSr7ADqsW+6uPOVnMDAhkkl2V/hV+wvd3X9Lj4C5UpkXxvR1tkfb+RkAR4qrOFJcjVGvY0wfLxEVx3gb9BynWrC1AaN6q4j79mOlLN+jJlcm9o91n8TVGyD7J7Vcbn9QHTwT1jx/WqnrRoPe8TP1OLEzXXMQtrV7S7XXVxwAYM7YXpw/OIHfntOXQYkRWG3w0277pFPBHpUWrzc6sxEG2ls5HchQafSCIHQYtPr2kCA9RoP7Y73FauNfP+0DYJH1XEAFvmttRocz/COLs3y3fnXBW6kQgF4HPbqG+t5Bz3GqZKmmBA6v8euYHYnc0mrW2kvGZo7o7rZtZrr6/usduViObVW+N4ZgGOryrJQ0XJXX2Syw/tU2Ouvm0ezWoVqGHqj7RsN+7UKLIsJdEAIILVW+vKaeqjovs9n2iHt9eT7bjpYAcN24Xp6NxpbNd69J1kzpRlwLa19qc4Ot9mJCv1iCjXqOl9aw50R54wGasOmgwl2LuA9MjGBEjygiQ4yUVpsdv38ACuzR9thU1cpME+4HlkNVseNhZXiPKMKDfTQk0VqsaSmBbUDfuDCiuhipq7fy/joVxRjft0FWwOS5MPn/3NfZLC0SBZ86yIdw37nIudyOLdUyj5WyJrsIg17Hr89Jcay/0B4l+n6nXbhrUaL+05yTfN0GqdpUS62avBMEocNQYRfunj6XXUXYrw3q/mSzQbCunjsNi5pu/eoB11IhbcL/4rQErDbVfq6u3ur9zQYjDLBn8OxunwyehoZrbpMWDZ95XMlYwLHPHsJmg7F9YugZ4z5JcU7/bkSHBlFQXsuJlW+qlYMvgy7R7vuZeKd63fwuVJe0yDW1JM02IVz0e+dKD21khZZFhLsgBBDhwUZC7alyXtPl7cK9ojgXs8VGYmQIvWK8zJLrDU7zkbJcld4GgK1dDLbai5Agg8Po7O3VBxvf8Afa0+Wzl0FdlZe9tA/1Fiv78lWUdHBSBEaDnrPttd8r9hY4B2qu+PGD1GtcKiQMUzfiXYtZm+1HfXtxDhzbpIzNNOHfBny3M48as3pYrLE/NP7zuz2NU0Cn3A/RfZzfb/uoRVLXJw+IR6eD3Xnl5JZWOzdoNe39pqrvo3q2m5vw6ytVtP2y4Ukk2z0PAC4cquryM/YWUFNbB9v/qzakz3G+2bU21fEZIAhCR6DSh3DXxNWdhkXMMapJt522Pjxtns09QQu507DIbZy/uDmJ94vlscuHERNmYndeOS8u2+/7zYPsE927v1azCG2IJ8O1c55c6rxXuD7zuGL/LM/KU274l49s3HLaZNRzcVoiJsxE7bcb+KZf1/gk+p2vStHqKmDT2y14dS1Ds0wIMxbA7sVqxZQHpPNIGyDCXRACCJ1OR2JT6fJ2V3lzqYqwjesb490XwtV85LPfqQhlVE9VI9yOtbrtgVaG8PHPRxrf8BPS1M+lvhpyMtr5TN05WFRJXb2VUJOBnvY0Ri21e+U+F7M9rb49frBzXZoS37adixzGfBN91bdrhm8pkyA8vmUuoAk0E53aBlGegvJabnt/c2PxPs4lOtBCqesxYSZG9owGYNlu+2SIqxHdzBfUutIjqsaxjR9sjpVU89V29XO45dy+btuGdo+ke1QI1WYLWau/VGUEIdFO7wYNrc5975IO74YsCGcSWsS9oTEdKHF1p2ER9wQtZHH9eDWeLrxgudJNvPsr1rwRFx7MY7OUi/jLy/aTeazU++C+U8DYBUoPY8nd7j363cJ4M1zLK61x3is8dUCxf5YXjLmHh0ouxWTQc+kwz+WEM0Z053z9ZsIsZdgiuqtrbYhO54y6r39VtSftQGgmhN7QTAjHHXlD/Zy0tSOubdUOMoJChLsgBBjxTTnL2/u4G2uUEBuX4kOIgfogPu+vkLNCfV965IwT7Usyc/n45yON1jtu+DvzXAy8OlZEcrc9TT41IcLR01wT7luPlFBabVYDtYh7NxfhrkXNc1ZgLivAZNQ76sk9ogn3NkqT92Wio61rVL9Zq+r9MZhaNHW9kYGh1mJv8lzlJtxrolofntDmLdXeWpWDxWpjYr9Y0pLdW9/pdDpH1F237SO1ctgvwBjsvpNe45WgryqCIxva4KwFQfAHT63gNMamxBAVoucZ82xW2lRb0HKbyrh5wXIlz5hnExWi9+4E3wwuHZ7EJcMSqbfafKfMm0JVtwrgrTdf9B79bkGada9wFZ9/j3ZMwL6pvxqA8wZ289oOdVxKLNcHrwLgYPIM71mJabMhPFFNlGr3zQ6CqwlhQ1y7DultVuijfBNImaS6kUCrdpARRLgLQsDRpEGdPVU+wlKKDivj+vpxwx7m0tarnQ222hrthu8Jtxt+qmtE0keNXxuzO1cJ98GJEY51ydFd6NctDIvVxpr9heoGW7hXbXSNuMf0haR0dDYrFxs2MKpXNCFBXh5ETmQp8a8PgsEzWuty3Gi2iU7GAlg+Xz1UPFjQopGB8wYq4b56fyE1ZouzxZ7GMPtkRubCNm2pVlpt5qMNyuX/d5P6ehxz4ZAEIqhicKl9cs41TV7DEKQc+EHc5QWhA1FRqyZfPaXKG/Q6elzxKC9YriQCVcZTiXpG0KHEe48rHvXtBN8MHp2V5kiZf37pPq/R9O3hZwMw0bze7f1u0W9osubcX5+dZt8r0q93btHpsZ7zF77Y6nST94ah8gQTbVsB+KD2bO8nZDQ5s7/WvNDmJQNN0d2lnMoVt65Dk+9zdpAZeYP7QGkb2mqIcBeEAKPJlnChKsJu1FnpG1bv3jLLGz/+3b6ga1eDrfbA3xv+z7bBYIqAihNwfEvbnWAT7HYxpnPl3FQ1gbNiX4HqFFBfA8YQZULmir17wKX6db7r27WoQeo06OIjKt+CNMtEx1MP9RZM6xvaPZKEyGCqzRbWezJ6GnI56AyQuw0Km6gBbUE+2nCYyjoLAxMimGzPtGjImJQYrgrZSAh1VEf1d3ZJaIhWm9rBskoE4UymwkfEHVyc4EOUwK+wR9x9tn49ReLCg3l01lAAXly632M03WK1MXd7EhabjiH6Q/TQOb1WGkW/m6g599dnp9mGa0tcRKfNSumbl5NbWkNEiJEpg3yUgW3/BD0WNllT+WB/sHeTYICzfg1BYZC/E7KX+nV+bcXrK3MAuCK9u5sJoVvXocNroOSQeu4ZdFk7nu2ZhQh3QQgwNOGe5y3ibjRRY4wE4LweNu/17RoZC2DXl2p5/O1nXP2Svzf8E1VWR/pfR4pI7jmhUsMHJUa6rddE3Iq9hdi0NPm4AY0ehKyDZwEwTr+LSUleMglstjZPk4dmmui4pq670kJpfTqdjikDnW0DGxEWB/3s9Y5tlBpZV2/lrdXqAezmc1O8/q8HGfTc2GU1AGvCL1Q1mJ7od77KqCjaB4X7WuWcBUFoHk5zOu8idnpaEr8doyZexw3u03Tr19PA6CV6r0XTX1y6j91lJn62KSPUafqNbuPcot+uk6s/PAw1pZ4nYZug2YZru+zmcvaJ7K7HM3jc+AaXDkvynnVms8HWDwBYGnIB1WYLP+3ycC/Q6NIVRt2olte84Nf5tQVHT1bxzQ67J8qkfm4mhG6ZGVvUtZJ2hSp/ENoEEe6CEGBoLeHyffRyL0LVuY6Lb0KsaDfICPvNvcfoM858pFk3/A7WFq6itp4jxSo9clCDiPu4vjGYDHqOlVRTfHC7WhnfuK5tT20MW6z9MehspJV6aQV2fDOczIGgUGetfxugmeh4m3rSTHTGpsQ0Tl13pYXS+rRIzLI9+dg8pT6muaTLt0Fq5OJtxzlRVkt8RLCjx7BHig/Qt3oHFpuOl4pGez53gJBISLHXNHagySlBOJPx5Srvir5OdRdJ7ZHUWIS1EE2VltmAf/2oJv2+t5wFwIX6TR7HOybNx94CyaNh9b/gid6n1MKzKcM1aGC4pmWNTX8Cy0AVTb7euJQ7bB9538HxzaqtqjEE0whVXvjltuO+T2z8baoLy4FlkLfD7+tpTd5afRCL1cY5/eMY0j3S86DaCsjSnPNv8DxGaBVEuAtCgNFUqnxdvZXj5nAA0qLNvndmtcCkuVBpT2XrMUa9nkHmI/6Kw3GH/g0Fu9RN+EQmnDzkHNSMWryWROvfHh8RTNcwk9u2UJORMSnq4aTUIdwHNdrH2uwivrKMA8CoRSEassMeQR54MZj8KL1oIVxNdBr+flxNdFrjAdUT5/SPI8ig41BRFQcKKxsPGHQZGIKVn0ArP6TZbDZHC7ibzu5DsNFHSum2jwFYYxvG5pIu7DlR7n3sQEmXF4SOhC9XeTdq7f/XwRG+x50GTZWWgTMd/nvraADG6ncRTePPnPhwk+p1/sJo1WZUe7c+qNk+O74M1zRuP6+/MlybeBdUnwR00GsCPw14iCNWlaGWnPuj90nXrR+q18EzmD56IAAZewqcBrDe3hOnxrLmRfdt7fDcUFpt5mO7J8otXjxRACXazZUQ0w96jm2jsxNAhLsgBByJLqnyniJnO46VkG9VN+4ko48HdFBRyP7nq17e4Qmq5ZnGGWI+4q841BuMsOpZiOyhVmpR92bW4rUkmnAflOR51lyrcw8q3qNWeIi4r8ku4huLaiPE4bVQ1iCCYLXCTtULuC3T5DUc9ZsNoimtUb/ZFGHBRkeXBo/p8iGRMMBu8Ja5sFXOwWK1sTa7iAVL9rA7r5wuQXquH9vb+xusVtXPHtiVoHq1f7/zhPfxWkbFkfVQWeh9nCAIbYK/Efe2EO7+lpbdF/IZV+pXscvaC4POxvl6py/MXYZF/Cv0LcYvuxa+vFN1sgh18Vexmk8p2296WhJ9YhundAcZ1J38nbUHKR3/F0gaoTYkDYcu0SzcWc4fzHdh0RnRFe2FDa833rm5BnbYP9PTr2NgYgQDEsKps1j5LjPP+0npDWrCH9Q9oVQZ4LXXc4OrJ8qkVB+eNvaSANKv815aJbQKItwFIcDoFqFS5evqrR5netcdKKbIplLldZUFjbY34qi9/iz5rDP2A9ovcahlIZTaXVb3fHtKtXgtye48rb7d84PapNRuGKknoc7e6q6be8S93mJl/YEicomlMuEswOZMj9M4vMbe+zsK+l/Q0pfgF9PTklh131TvJjptiGu6vEfS7B0aMhe1ePeBJZm5nPPkUua8vo5XMrIBVXu/9oAPgX1otXIGDo4kdrQyIvw+y8eDZlQPSBwONivs/a4lT18QhFOgI0Xc/S0tS+8Vy5+DFlJiUxla0wwqon6v4WP+HLSQWdYf0B3bqIzP+l8AVYXObJ+I7qdUqldQXsuh4ioAXr5+lONekXHvFBIjQ9ifX8EdH27GorW+7XMuJVV1LNuTz3ZbP4omPKDWf/+3xga0e7+FmhKITIaUyQDMHKHKkxZv95Eurz03gAqQrH+13Z4b6uqtvL36IKCi7V79j4oPqPsGOhjhoQOJ0KqIcBeEACMkyEC0vceop3T59TnFFNnsEVi/hPvP6rXHWS11ip0STRw+MlM55kZ1CWLl3Cnu4nDyXBh3m1o+sKxdRTu4OMoneH5QG5wUwcjwk5h09ViMoe4ZFcDO42WU19YTEWKkS7qL4HRFizIMntG493cbYtDrvJvotCFaP/cNOcWOB2o3BlykHkZLjzj/t1qAJZm53Pb+5kZpqlV1Fvf2Sg3RercPvZzz0nqj10HmsTKOlVR7P5gjXV7q3AWhvfFbuNtr3AkOb7Vz8dt35KYn2DfkLiYYVLR5sn4bbwY9xR+CvnSMY/g1ynl9/4/qPnrZs2on5cdh4h+bLd6X7c7HZoNhyVFcMizJca/oHt2FN351Fl2CDKzcV0jxTuXlsjt4OPO+2YXZYmNQYgTx0+6GgZeqzjqf3qSM8jQ0o7YR1zqi5DPswn31/kIKyr10+QH1fDBM9YhnzfPt9tzw1fbj5JXVKE+UET48Ubba7xn9pkCU99Z4Qusgwl0QApBEL87y9RYrmw4WU2g3p/Mr1VWLuGv17WcwBr2Oq8/qiUGvo7TaTGFFXeNBFz/hXNYb202022w2l1R5z8Jdp9NxaWIJACeC+4De/Zaw9kARAONSYtEPvRzQwdENUGKP0FvMzgh8O6TJd0RS4sJIiQvDbLGxap+HibGgLjBIpaS3VLq8Zgjly+7O0V7JlbpK5+9vxHXEhgdzVu8YAH7Y6SPqrqXLZy9VKaKCILQblfZ2cL5c5QGoVRlYBHsxHGsBmuM7knr1Y1gn/xWALro6zjeoKHZV9ED49bdw5WvK8FQTsRGJ0H2k2klcarN9dn7cpUqAzh/cuJ1bWnIUz12bTrzuJN1qD2NFx9VL4JONRwE4VlLNkp15cPlLENVLtVD98i5V716WC9k/qR05+r9D79gwRvSMxmqDl5bt99jP3sEV/3b+hE7zuUErl/J5vAbYbDZeW+H0RDEZvchDl9Iq12sV2g4R7oIQgMQ7DOrcH6ozj5dRWWehOkg9nDcZcS/LhbKjynBNu2Ge4XQxGUiNVxGL7UdLGg9wjQBY69vNeT+vrIbSajMGvY7+8d4jLOPD1MNMprnxDPuabCXcJ/aLhcgk6D1Rbcj6XL0eWA7VxRDWDfpMasnT79RobeGWeqpzB+ckx87PwOKjz6+fNGUIpbVXOv75Q+5/j7sWqyhc1xTIWQHL5nPh0AQAvs/yUeeeNEKlhJqrICfjtM9fEIRTR6txDzO1f6o8NM93RD/lPvV8gfqc+rv5Rv6Z8rrzXtOwG8iA6ep175Jm+ezUmC2s3KcCFRcMTvA45sKhidzRV33u7bL2ogznfbO8pl5lLmXXQN/z1DlnfQ4/vwHb/6tKh3qOV60+XQzlUrupUoC31xxs1M/ejZX/xGHbdxrPDa7lUj6P14BV+wvZnVdOqMng2xPl4EqVLRYc5ZyAFtoUEe6CEIAkRHhuCbfeHkGNT7IbqFX46DEKcMwebY8f0qrpdZ2NYckqYyHzWKn7Bq02rf809X1saru1zdPS5PvGhfl0FE+xqej5+soEN2OhunorP+cUAzCxvzJcY+gV6nXnZ+pVS5MfcjkYmnhoPIOYMkiZ/i3bU4DVU7Sj3xToEqMmzg6uOO3j+WsIVVFnc/971FyQo3rC8nmgNzBtiHqoXZ9TTEmVh4wSUF4XWtRd0uUFoV3RUuXDQ3x8BttsbSbcoRm+IxkLlOjVG9EBEVTxbVah589NcAr37GXNyvZZe6CIarOFxMgQhnppcWax2gjPXQ/AOqtnB/pHFmdhjeqhzhngu7/C+n+r5dAYN0O5JZm5LNx8rNE+tH72DjGtPTcMv1Z9HxxxSs8N3sql3I63bL7H/b6+Moc7DYt4Ofk7ouyllh7RTOnSrlTZY0KbI8JdEAIQbaa7Yar8ersQ69unj1rRVKq81Ld7ZHgPJdy3uwp3V0OZc+9R6+oq2q3nvZYmP9CLMZ1GcPFeAPbZerBqn/PvYdvREqrNFmLCTAyIt+9jyCwVaTi2CQr2wO6v1fphs1v+AjoxY1NiCDUZKCivJSu3rPEAQ5D6WYKzld5p4K8hVMmYPzn/Hr/7m4qyg5o8sKej9o4NY1BiBBarzXvGALgI9yUtbrInCIL/+OUqX1+rIrkApraZhG/Sd8T1nvlQEeZJ93NP0EJmV3zINk/ZbKCyfSKSVCuyg6v8PpefXNLkvZmubcgpZni9atO5zjq40XYtc2l9z5vhPJXij6VO1dzrjWoS0/452lQ/e7BPAix/0vkzuOxZMJjUBMu4W5v13OCrXMrteDp9o/3uyi1jRPa/uSdoISN7x3o/SE0ZZCkPAkZK7/b2QoS7IAQg8R56uVusNkcEdWhqf7WyrhzMPkyojtp7pyaLcHdlWI9oAHYcLXW23LNanLV4icOUwC3PhVE3tkvP+925vh3lAfUwV7QfgL3WHqzY6yydWGtPk5/QNxa99sD185tOA7sv7lB/P1E9ocfYdutV3xEJNho4p79qpeNV/GqTHbsWq9/DaTA2JYaoLt6jJA5DqJQYp4vx2hdxPNI1MEK60B5199kWrs+5ymSvIq+xw7IgCG2C1Wqjsk7dW3ya02nRdmgz4e4TD87pQVP/j69if8M9QQsp/26e5/fpdMrgE5STux/YbDZ+2qU+h72lyQOUFhylv/44VpuODdZBXsfll9fAeffBOX9yrrTWu12Lv+VLx4ornO8zhULPcWpAbP9mPTf4e7z1PW92TN4e/uzvfLH1GFkf/Y17ghayOPbXRE1/wPtBsj6H+mqIGwDJo/06L6HlEeEuCAGIp1T5Xbl2h/BgI4N6J6uZXfAedbfUw/HNalmM6dwYlBiBUa+jqLLOebN0rcULDlc3N4DjW9ul572WKj8o0YcRUdF+sFmoD4ogjxhW7nOmKK7JVn8XE/q5zMDrDVBySC0f3aBeh16h6vPaqVd9R0Vzl/cq3HtNVG2NakuVa/JpkFNYSbXZ8wNeQ0MoAIb9wjnAgxHShUMTAcjYW0CNl/1iDIb+56tlSZcXhHahss7pkeEz4q4Z05kiGpmQtguuE90u6M+by9Pm2ew/4TIp3pAB9myfvd+pEoAm2Hm8jNzSGroEGdzvZw3oW7kNgN22XpTifXLDkeF0wd9Bb58wNQS5XYu/5Uub+97q/jPoq1rJkZPRrOcGf4+XX17Dkthf8prhWnpte5bLPhvKVWXv8rR5NseG3en7zZpzvvRub1c6wH+vIAgtjadU+XX2+vaz+nTFYNArQzGASi/CIj9LmU8FRzpFqAColnsD7C3Wth8t9TxIM/Nrh2ik2WIlu0C1/vGZKp+vWvHoEwYTZjJSVFlHVm4ZNWYLmw+VAHZjOo3Jc+HsP7nvo66y3dvedUS0fu7bjpZQVOEhoq7XqzpBcHoFnAI1Zgt3fLiZunorAxLCHR0lNBoZQplr4D/2OlF0Ho2QhnaPpHtUCNVmC2+sPODdndjRFs6/yJcgCC2L5ihv0OsI9uYEDm1a3+4XDU3n7Jw3sBuv62fzaMUsdh73UGYEkDIJjCHKJO3EziYPpUXbz0mNIyTI++Ry/+qtAKz3Em13y1wC9blpNasgiMXs9jnqb/lSo3Ep56nXnBXNytLrFu5fK9a3Vufw5AdfM6BO3fsNOhs2GyToTvLykk3eTeyKsuHIOpVJqNXiC+2CuAkJQgCSYH94LyivxWK1YdDrWHdApcmP62sXYmFxUHbMe8RdM6ZLHtUxZug7GMN7RJGVW8aOYyVMT0tsPCApXbVNyd3a1qfGgYJKzBYb4cFGenT1YSDjEO5DmBAUy4+78lmxr4DSajN1FisJkcGkxIW5v2fa31XK3MkcQAcb3xTR7oGEyBCGJEWSlVvGGytzGJQUQXyEeuhzRL7TrlIp63u+hdqKUzKAfOyrLHbnlRMbZuL9344jNjyYDTnF5JfXND4ewFsXq/R2Yxe4c6MyqFv2uNpm/x3qdDoGJkZwvLSGf36/1/HWpKgQHp4xRE0CLJsPllrQGSB/p2qP1LWPGpixwB5Ra9ssE0E403D0cDcZvNZuA23Sw70lCDUZmTygG9/tPMGSzDzS7EawbphClbP73iXqKzHN5z5/2q1Kfi7w0AbOFf2h1YAyptOBW714o8ylhqn+2vcAk+c6+tnnldZ4rDvXoSZVHZMAGt1HqmBJTSnkblPPXy5YrLZGn+8nymp4adl+n9cGEEY103M/4jembzDp1KSA1aZDr7Nxg/EnLjJs5IXPf8O0wQ+p4I4rmpFpv/NVhxmh3ZCncUEIQGLDTOh1YLVBUUUtVquNnw/ahbt2owiz38S8tYST/u0+GaYZ1DUZcd/aNifkwu48FakYmBjh+2GuYLd67TaYc1NVBsaKvQWO+vaJ/eI8v/+Sf9oXbCraIKLdI71jQwF4JSPbc2ue7iNVK7b66lOKWn+1/TgfrD8MwLPXpBMfGeLbEOqTXznLX655H6J6OGveXQyLlmTmsmxP488FN3divQFWPavawoHz/LUHWCmbEIRWRzOmiwjx4QQOHS/i7oNLhilh+K2vFmaOOvclPvd1oqzGcY/WsqA8UlHguB9efdXVvlvZeajPb/g56qufvYZb+ZKGwQh9zlHLB5a7bfLU6m3UYz8w9enlrM4u4s9B/+NOw6JGx9Nh42Xjv9jU5Q5uNS52iPY366fTt/YDPqlXrVy76Up5tP5Zyt+YAd/c68wgsFpcerdfJ3427YxE3AUhADEa9HSLCOZEWS15ZTUUVtRRWm0m1GRwzmA7UuW9CXfNUV6EuydcW8LZbLbGAlczqKvIg7LcNp2l3u2nozz5dtfb+EFMilR/Dz8fLOZwURUA4/rGeH6fJv4MJuWqm7FAxHsDlmTm8m1mXqP1mvh1PAQOmw0rnoLMhTD8Fx725JlDRZXc/z/lgHz7ef2YNKCb7zcU7HV2ATj3L5B6gXOb9ruzWpp0Q9ah3Imn3XcvBnBGmfZ8o8SBlE0IQpvh6OEe3MREWScS7lMHxWMy6MkuqGTfiXJSEzyc84DpwJ9UgKGiAMI9f/5pHiMjekb7Tl+3R9uJH8r5o4dw3sjB3jOXvNTnu36OgrOf/SOLs9yM44KNep67Nr1xazyNlMnq8zQnA879M+Bs9dYwel9abQagT2woNwxNIWbDP4kIMTKvciYAQ3U5vBn8DIkUgQ1OWsPoqq/kafNsXrCoUq259bdy3BbH3UGLqLfpic5dBXlrwWZRpVS9xqvszJBoyN8NK55U1y+0CyLcBSFASYgM4URZLSfKajl6Ugmx0b27EqSlQIUp12sqPAj36hIotKfIinuoRwYmRhBk0HGyyszRk9X0jAl1H2AKhW6DlDjO3dqmwn2Pw5jOx0OauRqKc9Ry/BB255Rh0IHFCsftDxlPf7+X6C5B7g8YTaQICvgtfi/Mfwt9jYoGWff/xJINO+kam6geElc+5ZZu7poi2TU0iAVL9lBeW89Zvbvy52lNeFDUVcEnN6p6zD7nwpS/Nh6juSFnF/nlTrwhp5gJk+dCdTGse0XVZOasENEuCG2II1XelzEdOM3pOoFwjwgJ4pzUOJbuzuebHXn80ZNwj+yuWsPlboN938PI6z3uS2sDd4GvaDs4W8vZo91a5pJHfJUANfjsm56WxLQhiWzIKSbreCmPfb2L2norw+2daTzS9zz1engdmGuwGIK9tnrTqK23Kkf4sGB+t+xxLhkdjbmymD4HP1EReH0Qh4b/kS837qfOYnSIdo1/WWZjQU+srozLe1QSnWefyMh40tlJJrafU7TLZ3y7IanyghCgaLPLJ8pqWG+vbx/f1+VG5CvifszeBq5rilPgC24EGw0Ox/Ydx7ykyyelq9c2Nqjb44+jfMEewAZdYliSU8/tH2zG0uDJoLC81pkaDX6lCAr+t+Y5WloHG16jiCj0VjMZX7zFnNfX8ebjt7qlmzdMkbzxPz+TebyMUJOB5+eMxNiwHtHtYDb4+h4o2AXhCXDVmz7T2JvjTgzA9CdwJIPq9PJAJwhtSIU/PdxBeWiAcpXvBGi+Mb7T5e0mm17S5WvMFlbtVx4+5/toAwe4CPezm3We/qBNAvz23L6OUsVFm496f0O3gRCeCPU1cGR9k/cTcE6mMnkuTP4/eux8lRRNtMcPgT9uo8fMB/gw7EZebCDaNV60XMm/w24l4pav4Mo3nM+IpUfU67FNIto7ACLcBSFASYxSLqN5pTVsaFjfDhDuo8Zd6tv9Qis78Crcu6er1zascy+tNnOspBqAgZ4iFRr2ej5b/GAe+WqXx9l8bd0ji7OUo7ivFMF26FXfUfFX/L5t/AXPmGcTi/r7malfw52GRfzO8jHPmGezJPaXjhRJTw9uVXUWth8t8X2QLe/Dtg+VqL7qTYjw/QDbbDfkjAU4/lJsVvjhYb/eLwjC6eNIlTc1Jdw7T6o8wLTBCRj0OnbnlXOwsNLzIE24Zy+F+sadO1bvL6TGbCU5uguDk3xcd2WhmtgE6N3ywt2Vq89S0etPNh51tF5thE7n1hau2ZOpicOcK/VGuH0tRCX7rLt3M98z6FXZ1h0/w+hfOweJn02HQIS7IAQoCfYH61X7CymurCMkSO+enqVF0j25yh8T4e4Pw+0GdTuaMqjL3epXv9mWYO8J9YDWPSqEqFAfhkV2R/kTwSl+p0Z7a+EDtEuv+o6Kv+L37TUHed5yJa/Xq7ZqE/U7uSdoIc+Zr+AFy5U8/MVOHvg802uKpJZy36hNm0beDvjmL2p5yt8g5dwmz0lzQ/ZmqOTWEknLwDjvr86SmtX/kswLQWgjKuzt4JpOle9cwr1rmMnRitSTVwigMtrCE5RjvhYxd+FHe5r8+YPjfZu0Ourbh7R6huHFwxIJDzZyuLjKEVDxSIpduB9Y3vzJVG3yVGdo1O5Tq7v3ab6n0aWrKkkAdz8boV0R4S4IAYrWEm7rkRJA1bebXPu8euvjbrO5GNNJfbsvNIO67UdLsHkS5glpdoO6E1DuI+WvBfHfmM4u3ENS/Nqvv7P+QtPiV0PT24/X34DFpkN7trzKuJKp+k2cKK+lsKLO6/vdJlWWzXd/qKopUy7y9TUQ0w/qve/HlabckG3YozIrn3KWTZx3H5xnn7TRG6VsQhDaCKerfGAJd3Cmy3vtLa7Xu7jLf+e2yWq1Ofq3N50mbxfurRxtB9XubsYIJY4/3egjXV6LuB/fwtgkPYmR3vu0u02mfv8AFNtbw/1hg8cytulpSay6byof3TKe565N56NbxrPqvqmNzfJcS+MeLJCSuA6CCHdBCFC6Rbh/0I/p08Ah3CHcC8Fqda4vPgDVJ8EQDAnDELwzICECk1FPWU09h4urGg8whUK3wWq5jdLld+dqreB81LeDIzXQkDjUr/36O+sv+Ba/OvvXDeN7OdbdaViEQWfDbFO15z10hbxpeprXg56mh85L1wcX8strVN269lBls8GXd0JxtuoJXJyt2gz5ibeoDMCQpEguGprYuGyi/wUq6m6th57jpGxCENqACn9d5es04d6x+7i7cuGQRHQ62Ha01GGw2whHnfu3blltmcdLyS+vJcxkYLy37igaDYzpWptf2NPlv9mRS3mN2fOgqB4Q2x9sVgyH17j7E7ngluK+8ilY84Ja0WsixPX36kHjs20oiJ9NB0aEuyAEIEsyc7l34Ta3de+uPeQ+cx1qTwmzWaCmxLlei7Z3TwejqVXPs7NjMuoZbI9sN13n3jYGdZoxnc+avtoKKFH9vwcPH+t/arTgN02lJF46TKUg3mlYxD1BC3naPJvU2vd43nw5ABabjmmGTSwz/Yn3guYRRH2jY9xpWMTdxoVqUsX1oer9qyDrc5XtUVt2SoZCDaMyT189giCDjqzcMhZtPta4bEKnc0bdc7fDmJubdTxBEJpPpd+u8ppwb2JCtwPRLSLYEXBY4i1dvu95KshQctjh2wLwoz3afm5qN4KNPiY1Kosgf6daboOIO8DIntH06xZGtdnC19t9ZOLZ0+Vr9y51tLWL6uJe/uaW4m6pVy3bAEbd6Bx0Kh404mfTYRHhLggBhmZm1TDF9mRlnbtDuNHk/JB3NajTjOmSz2r9kw0AhjWnzr2VsdlsDuHuM1W+YI96DU/AEB7rn2FNwxl5oUl8pSSOTYnhr2FfOkS71p7nGcvVPG2ejUFn4zjdCNJZOdeQyTrTH5ig3+nYtyb4+5pKGVfwKXzxB9j9laprzP5JDbJZT8sF2DUqc9WoHvzJ3nbu0a+yKChvbAbliLrXV8Oa507pmIIg+I//rvKdL1Ue4GJHurwX4W4Kc6aV7/nWsfonl/p2nxxeo167DfLaC76l0el0LiZ1R7wPtLeFK8/6kbKaegYlRvDz3y7wnuLe52wVhAmOhCGz3PfVXA8a8bPpsIhwF4QAQusf7ZdDODjT5Stc6twd9e0i3P1heHI0ANu9CXfXlnCtbFB3rKSa8tp6jHodfeN8pERqDrrdBgHNNKwRmoW3lESDXsfUAbE8Y57dqD3Pi5YrecY8m6rBV7NtzAIqbcHE6sv5yPQ4rwY9y/eme7knaCEAM60/oV9yn3KPz92mMmgcB29ZF+Bbzu3L0O6RlFabefjLzMYDXKPuG96AiqbT/AVBOHUqmusqb+o8qfLgrHPfdPgk+WVefFYa1Lnnllaz83gZOh1MaWb/9rbiilHK5X3z4RL255d7HtTnHGzoiKs5SDwnufeigZiMeu8p7lveU6/DZqsyPSEgEeEuCAGEv/2jN+TY3Uwb9nI3V8MJ+wO5OMr7hRZxzzxe6rm9S2KaioJWFkDZ8VY9Fy3a3j8+3N2IsCF2YzrihzhW+W1YI7QY/a+Zx5A5//A4YTJkzj/of808Rlz6e9bOWslOXSoA0w0/M0B/zDk4sgcMuBgmzYWr34Pxt6v1reACHGTQs2D2cAx6Hd/syPNsGiVRd0FoM/xPlbf3ce9kEfekqC6M7BWNzQavZmTzxdZjrM0ucu+kYa9ztx3dwM879/HMD3sBSO8RRVy4d1M3oE2N6VyJjwhhykA1qeDVpC40hmNdBgJwQ3wOU31NQlSfhKwv1fLIX7bkqQodDP/dagRB6PA0u99nuItBHaiInbVetViJ6tEKZxh4pMaHE2zUU15Tz6HiKlLiwtwHBHWB+MFqQiR3K0Qlt9q5NNdRnvhBbqu16LDQdkxPS2LakEQ25BSTX15DfITyE3CNpFwwaiCW9J+x/iMOvbUem86A9fpFGLoPh1AX74GMBbDuZWd6vGYwBC0WeR/aPYpbJ/flpWXZPPjFTib0jXNvO6hF3T+YraLuE//YZimognCmUWlvBxeIrvIaKXFhbDlcwn9WH3SsS4oK4eEZQ9TEclQPyqIGEVm6m48+eINF1kkA7MuvZElmrvfJ56piZ6CijSPuAFef1YMfd53gf5uP8ZeLBhJkcJ9sP1BQwfcVA7jVsJvruuX4bmm3/VOw1KpONlp5nhCQSMRdEAKIZvf7bBhxd6TJjwFfNwnBgdGgZ0h3Zfiz/WiJ50Gu6fKtiCbcBzXlKK8Jd83xXmhXmnT4BQwrn0JvrQeDCZ3NguHYhsaivY1cgO+cmkq/bmEUlNfy2Fc7WZtd5B4Jk6i7ILQJFf5E3K1WF1f5zmNOB8qzZ9HmY43W55XWODx7lmTm8k6RmoSeanDeYytq6919fRpyaA1gg7iBEN5ESn0rMGVQPHHhJgoralm+p3FZ0dM/7GWlRXV9ictf673UzmaDze+q5VE3yrNbgCPCXRACiKb6RzdyCG/Yy13q20+J4clNGdSlq9dWbgm3J0+1ghvkK+JeXQLl9pT9BhF3oYPiTz/dNnQBDgky8ORVwwFYuPkYc15fxx8/3sqc19dxzpNLWbIzT2rdBaENqKzTzOl8OKfXVTiXO1E7OM2zxxOahP37lzv5+5dZ/GQZBcBk/fZGHTjcfH1cOWRPk+/TtmnyGkEGPVeOUpmNnzYwqdtxtJSvt+eyyTYQqyFY3bOL9nveUe5WOLFDuesP+0Urn7XQ3ohwF4QAoqn+0dDAITzM3hJOS5U/ukm9iqN8s0jThLvXlnD21LVWNKirrbdwoKAS8NNRPjIZQqJa5VyEFsTfSHobuwAXVnhwlcclElYzVKLugtCK2Gw2Kmr8iLhrwl1vBKN/WXkdAX88e/LKarm26n0m6bdRYIsiQlfNGL2zLdwdhkVcU/m+09fHlYMr1Ws7pMlr/GK0Eu5Ld+e7depY8J26hovTU9D3HKtWHljueSeb7aZ0g2e4Z2EJAYkId0EIMJrlEB5mTw/TjNPKjqrez1Ij1SyG94gGIPOYF4O6hKHqoamqEMoap/21BNn5ldRbbUSGGEmK8vFwlm+PYMRLmnynoAP20/UnEvbIV7uwTPo/9Y1E3QWhxamtt1Jvv9/4FO6u9e2dKI3aX88ei03Pn4P+R561KwAX6DcDzpaZFpu+8b6qT0Kevb69d/sJ99SECEb2iqbeauPzLerZYPX+QlbuKyTIoONPFwxwtIXzKNzrqmDHp2p5lJjSnQmIOZ0gBCD+GF4B7jXuWv/2+KGdKp2uI9CvWxhdggxU1lk4UFhJ//gGP7+gLqqe/MQOlS7fCsZ/e05oafKRvk1sCuzRiG6SJt8p8BUpb8FWb83B7+4VhnFMSB4NxzapqPuF/2i7kxSEAEdzlIcm2sF1UmM6fz17XrC309RaZJ6v38xJQzj3BC3kafNsXrBcyUcN93VoLWCD2FSISGjJ0242V5/Vky2HS3h7TQ7xEcE8/9M+AK4b24tesaFKuC99TGUIWC2gdymL2PUl1JZBdG/oM6l9LkBoUyTiLggBij+GV84+7gVwzC7ce4xuu5MMEIwGPUPtBnWZXtPlR6jXVjKo899RXiLuwunhbySs689PQ2x/9U3DqHvGAlg2vxXOThDODDRH+VCTwfP9XaNWTepi6lzC3R/PnsTIYBIjQ3jRciXPmy8HoLc+n3uCFvLf+sm8apnp9PVZNt9ZWtSwf3s7fh6F2Fu3Hiup4Y//3Up2YSU6YEh3eylbUjoER0FNqapnd0UzpRv5S9CLpDsTkN+yIJzJaDXudeWQY6/3kv7tp4RW577dq0Gdvfyg4Y23hdida3eUT2pKuNsj7iLchVPE30hYaEgwbP8vRHR3r3XX6vb1Pgy1BEHwiV+O8tBpe7j749nz95lD+ftMNeZZy9VYbc6R1xgz2BT8ez6LexXD1vfAXOn0BTnkItzb8fNoSWYuf/5kW6P1NuD//rddOeIbjM4JhgMZzkFF2cpgT6eH9Ova5oSFdkeEuyCcyYREgcGklo+rujAR7qfG8B6aQV2J5wFJrWNQZ7HaWJtdxNYj6ripDdP0XakscnYQiBvYYucgnFk0FQkD1b0iedbDqg5f62Kw4Q344eHGZnuCIDQbp6N84PZw98ezRxtzf9iX6HU26m1K2lRjIlJXTeKx7+HLO2HNC8rXZ9njkGsXy7nb2u3zSPMK8fU04HDE1+rcc1yE+xa7KV3/CyAqubVOU+hgtGuNe0lJCXv27GHAgAF07dq1PU9FEM5MdDqVLq8ZpgVHqZovodlowj3zWBkWq61x6qLDoK4ISo9CdM/TPuaSzFweWZzlVm9850dbeGTmUHcTQo0Ce//26N7iYyCcMlok7Lb3N6MDjw+eZ/Xuqv4HJs9VE1XL56mo++p/wdl3i2gXhNPE6SjfRKS4Ewt38M+zZ3rRe2D5mMMj/sSWlFsYmfM6vbY9C6NvgvBE2P8DHNvsnLjWWPN8u00i+u0VklPMhL6T1crD68Bco54ltn6o1o0UU7oziXaLuH/66af06dOHm2++mR49evDpp5/y9ttvo9PpGn29/fbbAMycOdNt/QUXXODYX0ZGBoMHDyYuLo5nnnmmna5KEDohWro8QPIoqZM6RVLiwgk1Gag2WzhQUNF4QFCIMz29BdLll2Tmctv7mxvd+PPLalU7rszcxm/Ktwt3SZMXThNvkbCoLkEAfLUjl592nVArz7sP9EHOQTs/g4K9bXWqghCQOFLlfRnTgYtw77yTtT49e1xaZva64u/MSk+m1xV/V4J809sqBf6WpXDvfrjydRh2tcuOTe02ieivV0h+eQ3EDVATEPU1cGQ97PseKk5AaBwMmN7KZyp0JNrlCb20tJTbb7+dFStWsGPHDl566SXuvfderrvuOk6ePOn4OnLkCHFxcZx77rkAbNy4kR07dji2f/HFFwAUFBQwc+ZM5syZw9q1a/nggw9YtmxZe1yaIHQeNKMWzaAOnGnyYhzVbAx6HWnd/axzP02DOl8pdo52XFqKnSuacBdHeaEFmJ6WxKr7pvLRLeN57tp0PrplPJsfnMYN43ths8HdH29Vk1gZC8Bqdor3kkPw5gVOgyhBEJqN5irfZKp8nSbcI1v5jNoJf1tmhsXB8Kshzp5VaDCBpc5pWNfG+OsVEh8RorIjXdPlNVO69DlgNLXOCQodknYR7mVlZfzrX/9i+PDhAIwaNYqioiJMJhPR0dGOr3fffZcrrriCfv36cezYMWw2G2lpaY7tYWFhAHzwwQd0796dBx98kNTUVB566CHefPPN9rg0Qeg86A1qlrrihHNdj7PEOOo0GOaoc/ci3JPS1evxrad1nOak2Lk56Wqt4OKVmY9M0Aini6dI2EOXDeWs3l0pr60n4417YdnjHB7xJ76YuY2jQ3+v3lhTCu9eDts+btfzF4TOihZxDw8J3Bp3v5hyv/eo+eS57i01XaLzPFigXjXDujbGH9d8N0f8ukq1YednKuIOMPJGuY+fYbSLcO/ZsyfXX389AGazmWeffZYrrrjCbUxNTQ3PPfccf/3rXwHYsGEDFouFHj16EBYWxrXXXsvJkycB2LZtG1OmTHH0Lh47diybNm3yevza2lrKysrcvgThjEObjc7b4Vx3aK0YR50Gw5sS7t3T1etpGtQ1K8VOm6BZ/qRLqvwgmaARWg2TUc/LdrOoX9d+yHOWXzBp/Rj++PFWztk0mTcNv1ADrWb47Pew/IkWNWwUhDMBrR1c067yAS7c/cVVtGvPN9pzUDuId39c8x+eMUSVBegNsHuxWll8AGwW6Dkesj6X+/gZRrsWs27bto3ExESWLFnC888/77btww8/ZNy4cfTp0weA3bt3M2LECL7++mvWrVtHTk4O99+vZtHKyspISUlxvDcyMpLjx497Pe78+fOJiopyfPXsefomUYLQKZk8F/pNdX6/+lkR7aeB1hJu5/FS6i3WxgMS0lS6cHUxlB455eM0K8VOezBZPk8dV6eHXV/JBI3QqsRHhDCqRyRPm2fzrNl9Yv4flVfwjPkqTsaOUiuWz4d/nwv1dY13JNEkQfBIs13lTZ23xr1F8Delvg3xxzXf7RxdCYuT+/gZSLsK9+HDh/P999+TmprKzTff7Lbt1Vdf5dZbb3V8f//99/PDDz8wYsQIhg0bxlNPPcXChQsBMBqNBAcHO8aGhIRQVVXl9bj3338/paWljq8jR079AVoQOj3n/Nm53I5GLYFASmwY4cFGasxW9nsyqDMGO43hTiNdfnTvroQEef/4dkuxA/cJGpsVViyQm73QqlisNu7Km84LlisbbbMBL1iu4pKKB7Be9hygU5k/L54F1SedAyUrRBC8Ul7jrzld5+zj3uI0J6W+DfHkFbLqvqmNO8NMngvJo53f7/5K7uNnIO0q3HU6HaNHj+add95h0aJFlJSUALB//37279/PtGnTvL43Pj6eoqIiamtriYmJoaCgwLGtvLwck8m7WUNwcDCRkZFuX4JwxnJ4rXptZ6OWQECv1zG0u3o4emfNQdZmFzU2iDtNgzqL1cbchduoMXuI6OMhxQ7gQIb60pAJGqGV8deHYX3XGXDDQvU3WXIIXhgNxTme01oFQXCgmdM13Q7OXg4aqOZ0AYBP13xXLnZ5PpP7+BlJuwj3jIwM7r33Xsf3JpMJnU6H3t6G6pNPPuGyyy4jKMjZPuaaa65h1SqnA+3atWtJSEggODiYMWPGsHbtWse2LVu2kJyc3AZXIgidnA5k1BIILMnMJfOYekj6aMMR5ry+jnOeXOremk2rc/ejJZzFamNtdhFfbD3G2uwias0W/vzJVj7fehyjXsfvJ6WQ1FSK3clD8OlNqiYOZIJGaBOa5cPQ/wK4ZZmKCFYVwfPpItoFoQn8dpWXGvfAIXupepX7+BlLE//trcOAAQN47bXXSE1N5eKLL+aBBx7gwgsvdES+lyxZwk033eT2nmHDhvGnP/2JZ599lsLCQu6//35uu+02QPV3/8Mf/sCPP/7I5MmTWbBgARdddFFbX5YgdC68GbWAWu/6vdAkWl/1hhZbeaU13Pb+ZqeYdo2422yqzYuX/T2yOMstahkSpKfGbMWo1/HidaOYnpbI3OmD2ZBTTH55DfERKj3eMVtfVwX/vV7VtgNMmgtT/+b83YP8joVWoVk+DACJafCHn+EZe6tCnUH+NgXBB44+7n4L9zO8xr2z0/CZTe7jZyTtItyTkpJYuHAhd999N3/5y1+46KKLePdd1ZOwurqa9evX89prr7m957777iMnJ4fp06cTERHB7bff7nCcj4uL49lnn+WSSy4hPDyc6Oho3n777ba+LEHoXPgyatG2C37RVF91Haqv+rQhiRjih9gN6k5CyWHo2rvRe7xNAmjp8b89N4XpaYmAM8Wu8YFtsPguZ9eACXco0Q4yQSO0Olqro7zSGo//F6CyQxw+DABb3nMu2yzwzVy4RCJKguAJhzldU+3g6qTGvdMjgRbBTrsId4Bp06axc+fORuu7dOlCbW1to/VBQUG8+eabXvuz33rrrVx00UXs3r2bc889l/BwmVkUBJ/4MmKRG0CzaE5f9Qn9YiFhCORuU+nyDYS7r0kAjS+3HmfuRYO818EBrH0JdnwK6GDk9XDR4+7bZYJGaEW0Vke3vb8ZHXj8e06IcJrKOh5Mz/srHNsE+76DDf+G0Fg47762Om1B6DRo7eB8psrX10G9/d4kwr3zIoEWwU67CffWICUlxa0tnCAIQlvQrHpeUOnyudtUuvyQWW5jmpoEgAaTAJ44sBx+eFAtX/wkjPu953EyQSO0Ilqro4YlH7FhJkqrzWw7WsoDn2cyL+YbdMvnOR9Mi3MgJ0MJjuXzVDmJ/K0KghuOVHlfrvJ1Lt1NTCLcOy0SaBHsBJRwFwRBaA+aXc+blK5ePbSEa/YkQENOHoJPf63avo2YA2N/59f+BKE1mJ6WxLQhiY18GH7IyuO2Dzbz0YbDzEwtYIJrNCkmBc79Cyz7B5jCoK6yfS9CEDogFTV+mNNp9e3GLmCQR35B6Oy0azs4QRCEQECr5/WWuO7WV33ZfMjbrjZoBnUaGQsYdeBVv4456sCrjR1lXc3owhPgsme9mt8JQlvhqdXR9LQk/nF5GgBz9k3hPdPVbl0U1iVdjy2mnxLt9Y3L5wThTMZitVFtVunRPtvBiaO8IAQUItwFQRBOE62eF/Aq3h191fUG2Pgf5ZpdU6J6V4Ojxjc5JrxRizdXtEmA5Jhw99Z9Nht8eafTjG7YLyCoS4tcnyC0BteP682fLhgAwINf7GT0P35gzuvr+OPHW7n2P1v4Y/n1auCGf0Pu9nY8U0HoWGjGdNCEq7wId0EIKES4C4IgtABaPW+iB9E9K727s6/65Lmqllfrq358q5tjrP68+xyTAA3RJgUenjEE/Xn3qf1o4n3tS5C5UA0YeUNjMzpB6IDcdX5/Jg2IA6Ckyuy2bXH5IBZbxquyj6//DFZre5yiIHQ4tB7uQQYdwUYfj/LSCk4QAgopeBEEQWghGtbz7s4t55WMbFZnF1FbbyHYaE9pnDwX9nyjUuUX/kaJeJca3+hQk8f9J0aF8PCMIe6TAOBsBwOQeiHMeqm1LlEQWhSrDfbmVXjcZgP+Yf4lUw3bCDv6s2oXN/pXbXuCgtABqXTp4a7zVQ5Vpwn3yDY4K0EQWhsR7oIgCC2Ia1/1i9OsfLblGHllNXyx5ThXj+npHDj+dlh0ixLtBpObM+wLS/cBcN24nswYnuxm6tWoBdyke2HZPMAGOj1c90lrX6IgtBgbcorJK/NuyHiCrjxtns1DQe/Bjw/DoMsgzEs3BUE4Q6iwt4Lz6SgPkiovCAGGpMoLgiC0Eiajnt+c0weA11YewGp1MaIr3OdcttQ5atU3Hixm9f4iggw6/jAltZGpVyO++hOOLtk2K6x4qnUuRhBaAX+6KLxjuZDSyIFQfVKJd6FT42pCuDa7CIvr56LgF345yoMId0EIMCTiLgiC0IrMGduLF37az/78CpbuzueCIQlKpK9YAD3GwtENEJvqSHd/Pvs8AGaP7kFydBPmchkLYNNbann4tRDbz5k2L71dhU6AP60ULRio6TacqLI9Kl1+5C+h1zjngIwFYLX47nUsdAiWZObyyOIsckudEzZJriVAy+YrA09Pn1/ye3bg6OHuy1EenMLdJDXughAISMRdEAShFYkICeK6cb0AeG3FATcjOi5/WQ0qzoYJd8CyxxmR/W8Meh23n9ff9461/ejt869jfus0vnN1mxeEDoy/rRS79Ux1rvz6z2Cxu2o7/g+aEDBCu7MkM5fb3t/sJtoB8kpruO39zSzJzFW/R0+fX/J7dsO1xt0ntXb/CIm4C0JAIBF3QRCEVubXZ6fwn9U5bDhYTG5iBUkuRnT0ORcOroSgUBZF/QpDUTlXpifTMybU906tFuh3PmT/BInDoMcYtV7br9XSehckCC2E1krxtvc3o8NR9AE06KKQdj6Yq2H1s3AiEza8BnUVzkkwyTDp0FisNh5ZnIWnpHgb6nf9yOIspt13LwZQv9eaUujaBypOqBIg+T070NrBRYQ0JdzL1KsId0EICES4C4IgtDKJUSHMSk9m4aajPFoxi1cuH+3ceNZv4OBKzBvfZm7xP7Hpg/hpShPRdoDJ98ELo9TymJvB1VlYHm6FToTWSrFhCnWjLgrT/g6Fe1RHhu/s6dIi5joFG3KKG0XaXbEBuaU1bMgpZoKnbhnye3bDkSrvtzmduMoLQiAgqfKCIAhtwO8m9QVgyc48DhZWOjcMugzC4gmqyud8/WZmpXenT1xY0zs8sAxO5qgHsmG/aKWzFoS2YXpaEqvum8obvzrLse6rO89xinaNaz7AEYvXG0XMdRL8MSF0G5d+vfuGrn1a9oQ6Of6nyksfd0EIJES4C4IgtAEDEiKYMrAbNhu8seqAc4PRRH7q1QD80vgjf/An2g7w85vqdcQcMPkh9AWhg2PQ67hgcAK9Y1WZyK7c8saDVv4TR0K9tV68HDoJ/pgQuo374nb3DV/8AYpzWvisOi9+u8rXSY27IAQSItwFQRDaiN9N6gfApxuPUlRR61j/XPFErDYd5+gz6ac/0fSOSo7A3m/V8pjftsapCkK7kZYcBcCOY6XuGzSDsiGXq+8juosRYyfBXxPCsSkxsPxJOLBcbbjsXxDVU7XMfPtSpynhGY6jj7u0gxOEMwoR7oIgCG3E+L4xDO8RRW29lbfWHGRtdhGvLN/PB3thmTVdDdr4n6Z3tPkd1bO9z7nQbWCrnrMgtDVp3ZVwzzzuItxduzFMfVCtqy6GyfeLeO8EaCaE3jq221AmhIaVT8HyeWqlsQukXQW//gYMwVB2DN6d1Van3KHRUuXD/W0HJ8JdEAICEe6CIAhthE6nc9S6v7RsP3NeX8eTS/YA8CkXqEFbPwCzj3rQ+jrY9I5aHnNza56uILQLw+wR90zXiLvV4jQoi+kLpgior4HBl6n10kWhwzM9LYmz+8V63GbU6+jbLVz9HpPt5p2DZ0BIJET3giteVesOrYKDq9vojDsumqt8uL+u8iYR7oIQCIhwFwRBaEO0VFFbg9DT9+YRHLPFQfVJyPrC+w52L4bKfAhPhEGXttp5CkJ7kZasHLAPFVVRWm1WK6fc7zSi0+uhe7pazt2q1k+5320fFquNtdlFfLH1GGuzi7BYvcV6hbaitt7iKH944NLBPHdtOh/dMo4pA7tRb7Xx50+2Yp54NxRlqzekz3G+Oe1KSL9BLS/6nfqcPIPxy1XeZpM+7oIQYIhwFwRBaCMsVhv/+HqXx21W9HxUPxUAm2Y85wlt2+hfgSGopU9RENqd6FATPWO6ALCzYZ27RtII9Xp8S6NNSzJzOefJpcx5fR1//Hgrc15fxzlPLmVJZm5rnbLgByv2FlJWU09CZDC/PjuFWenJTOgXx5NXDSeqSxCZx8r47rN3oKZE+RekTHbfwcVPQkw/KDsKi//YePbzDMKZKu9DuJurwWbPRBHhLggBgQh3QRCENqKpXsb/tUzGbDOgO7oe8jIbD8jfBYdWg84Ao37VimcqCO3LMG8GdRrdR6rX41vdVi/JzOW29zc3+j/LK63htvc3i3hvLsvme/cPyFigtvvJl9uOA3DZ8O4Y9E6buvjIEB6dNRSALln/VStHXAP6BvXbweFw1euqDWDWF7Dlff+vI8DQXOV9mtNp9e3opPOIIAQIItwFQRDaiKZ6GRfQle+t9vrOTW81HqBF2wdeDFHJLXx2gtBx8Oosr6EJ9xOZYFHp9BarjUcWZ3k0QNPWPbI4S9Lmm4Pe4Nn8TzMLbCiuvVBVV8+PWapjxswR3RttnzmiO1cPDmaSbhsAdWnXeN5R8miY+oBa/nYuFO7z7zoCjAp/+ri7GtPpvPn5C4LQmRDhLgiC0Eb408v4fcs0tbDtv876RFDL2z5Wy2JKJwQ4Dmd5b8K9awoERyqDuoLdQNMZLTYgt7SGDTnFLX26nRqffgCT5yrzv2WPw1d/gk1vw9J/OB3+Nd+BJvgh6wTVZgu9Y0MZ3iOq0XadTsfDfbII0lnYau3H01vwfk4T/6gM68xV8L/fKsNOV5qZCdDZsNlsVNapFHifqfJ14igvCIFGE3aUgiAIQkuh9TLOK63xGBXUAQfDR2GL6I+uaD/s+BTO+rXauOMT9SAW279x7acgBBhaqvzBoirKasxEhjTwc9DrVZ37wZUqXT5xWJMZLRr+jjsTWJKZyyOLs9wmPJKiQnh4xhCmpyWpFZPnqujtmuedb0ybDZPu9fs4i+1p8jNHdEfnJfoblvUJAAstk3g/4wD/zjjg+Zz0ehgyC9a8ALnbYOljcOFjaqBr28AApbbe6pjI8OkqL63gBCHgkIi7IAhCG6H1Mganu7yG9v3DM4eiG20X6xv/owyYbDZnmvxZv1UProIQwHQNM5EcrRnUlXkepBnU5W4F/Mtoac64QKdZfgAnD7q/OXMhfHi10wHeByVVdWTsLQA8p8mrg+6AEzuw6oNYbJnQeHPDc7rwH2ryANSEQvZSd9HuZyZAZ0RLkwcIDfJRqiDCXRACDnn6EwRBaEOmpyXxyg2jSIxyFw+JUSG8csMoFVFKvw4MwZC3HY5tgiPrVS2vsYt7iyRBCGA89nN3xWFQp5zltYwWb+hQkdtxh/7dYoZrnZVm+QHs+gp2falW6u2ZDzoD7PseXh4PSx+HHx/1+jM9/Nnf+YPuUwYlRpCa4EVEbv0IgOWMppTwps8JYPab0H2UWn7vijNCtIPTUT7MZECv91G7rgl3U+OfpyAInRMR7oIgCG3M9LQkVt03lY9uGW/vZTyeVfdNdaamrv83dBugljf+B35+Qy0Puwo2vH5GCAtBGNbDT4O6PGVQ55rR4o2HZwxBbzC2iOFaZ8ZfP4BNew7CZ79XK3tNhIcKlTi2WZTPgKUOVixQn1HLHoflT7rvKGMBw/e9hMWmZ2a6l2i7xaxKgYAPas5u8pzcPApu+sq5rDcEvGgHKPfHUR4k4i4IAYjUuAuCILQDBr2OCf1iPW/UG1TqKEDm/8Bmtb/JFPD1m4KgkdZUxF0zqKstUwZ1icOYnpbEwIRw9pyoaDT8VxN72yfH7OJu2ePqdfLcMybNWsPfOv/U726AugpsXbqy4ew3yNt6jPgev2XceTb0y+fB0KtURlDZUfWG5fOg+iRc/ITjZ/pM/WxesFzJyuFehPv+n6CygFpTDBk1I5p37mtfci5bLWpSc8r9fl1bZ8WvHu7gItwjW/mMBEFoK0S4C4IgdDQmz1V17cvnKddsgIgkFX0/Q4SFIKR1V4LjQGEl5TVmInwa1G2BxGGU15jJLqgE4NmrR6DX61ibXcTHPx9hSeYJ5k4fRKjJ6PwfWvY4LH9CRZDPoP8tf+r8z9LtpmtJJgB31N/N129tdWxLijqLd4fcRWpcKMx6AVb8U5nFWc2w/hX4+TWwWtjU93aezzqHUb2i6RkT6vlA2z4EoKjvLOq3Nv1Y6jh3bbJl0lzY/A5UnICMJwI+8l5ZJxF3QThTkVR5QRCEjsh598GA6c7vy3PPKGEhCLHhwXS316zvPO7FoK57uno9vhWAlfsKqbfa6NstjCtG9WBWejJ/nzmUHl27kFdWw2srnE7ljLxBvdosgO6MarM4NiWGrqFBXrebMPNEkCrR+ah+Cl+Xp7ptzyut4cLN41nS7SYwhcEFD8Pta6HfVDXAagGdgUfLLgV8mNJVFcOebwFImPRrkqJCGhl3upIUFcLYlBj3DImpf4Nz/qQGBEd6LoMIICpqVSu4sOAmSjocwl1q3AUhUBDhLgiC0FG56g3nssEkol0442gyXT4pXb3aneWX7s4HYOrAeMeQkCAD9188GIBXM7LJLa1WG776k8uObPDCaCjOaalT79BU1Na790Z3QQf8wfgF/fXHKbBFMb++sSGmR7O4uFToOd5lkIWHT/wRg87Kpd7S5HcuUnXyCWkYuo/w2nVD49cT+2DQ69TEgOtE5uibVFZSbZma8LRafF5/Z8aZKu994gWAOnu5iETcBSFgEOEuCILQUVn3ino1mNTDbQBHkQTBE5qzvD8GdVZzHcv32IX7oHi3YZcMS2RMn67UmK08tWSP+l/au0RtTL9eiZvqYnhlIhzd1CrX0pGY9/UuymrqSYgIJjEy2G3bxIgT3Bm0GICHzDdR5sHlHTyYxWUsUOU9U/4GFz8FwCjDfpaGPUi3UC+Pm3Y3eUaoyQFvXTeCjer9H/98RAnXKfe7T2QGdYFz/qyWc7c7I/ABiFO4+xtxF+EuCIGCCHdBEISOiGsq6IMF6jXAU0AFoSFpPZqIuMf0heAosNSyb+fPFFbUER5s5Kw+MW7DdDodD16mornJ219Q/0s6u/CZeBf84WcIjwdzFfznQtj9datdU3uzen8h/914BJ0OXrx+FKv/73xnh4vfjuH9+A/R28zkJk7lW+vYJveXX17T2Nxv3O+Y3+UeLDYdvetz4KVxUFfl/sbCfXBso/o9DL/asdpT143V900lKSqEA4WV/P3LnZ5PZNSNENEdyo/D5ndP50fUodH6uDdd424vLzGJcBeEQEGEuyAIQkfDk8P15Lki3oUzDi3ifqCw0iFY3NDpIGk4AIcy1wBwbmocJmPjx5vhPaK5clQyBp2VVcGTVG17TF/oNhAik+DOzep7az18fD2sf631LqydqKqr5/8WbQfgxvG9GdMnxtHhYlZ6MhOKP0d37GcwRXD87H/gPWndSXxESKPU9d15Zfz75GhutczFpjdCcbbqtV5d4nzjVmVKR/8L1KSJC27n1C+WuIhg/nVNOnodfLrpKF9sPdb4RIJCYNI9annVM2Cubu6Pp1NQUdNcV3kR7oIQKIhwFwRB6Gg0rN/U0MR7ANdvCoIrceHBJEWFYLNBlleDOpUuX39kM9A4Td6VuRcN4t+6azhRZa/LHniJEv+gBM4fNqjILTb49l747m9gtbrvJGOBajvWCXnquz0cKa4mOboLfwv7wn0SsPQo/PSIWu5zNiMLvmjSLC7IoKN/fHij1PUvtx4HQDfgQnQ3fQ0hUXBkHbw4Bsrz1GfYto/V4PTr/PqZjusby51TlUne3z7L5FBRZeNBI38JkT2Umeemt5v6cXRK/HeVlxp3QQg0RLgLgiB0NBrWb7oyeW7A9ykWBFfSmqxzT1cv1bsBOG+gd+GeGBXCrZN6MUW/BYCtoeP5Yusx1mYXKZM1QxDMeB5SJqs3rH0RFt7kjN5q2TD6JuqLOyCbDp3k7TUHAZh/5TBMQUHODB6bDb6+RxmaRfaAvUvQG4xNmsWZLTaueW0tx0rUz8ditbE2u5CPfz4MwGXDk6DXeLjpG+U+X5mv0uY3v6NS2kOiIT/L75/pnVP7M7ZPDBW19dz10Raq6yyszS5y/g71Jpeo+7MBGXV3uspLxF0QzjSkj7sgCIIgCB2WtO5R/JB1okln+cG6I4xKDqNbRLDncXZuTSkieHUFJbYwrvrahoWtajdRITw8YwjT05LgV1/Cf2+EXV9A1hdQlgsp58LKpztNW0aL1caGnGLyy2voGhrEI4uzsNlg9ugeTBrQDQa49LI/sVOZ9ekMUHbUcY3TgVduGMUji7PILa1x7DspKoTfTerL6ysOcKCgkqteXqO+X3nAbdy8b3ZhMuqZnpYGt66G186DmhKno39MX8h40u+fqdGg51/XpnPxcyvZdrSUs/7xA5V1zgykpKgQ/n7p+VwU1QtKD8PG/8CEP7TAT7PjoJnTRfgt3KUdnCAECiLcBUEQBEHosAzrEQn4iLjH9KVKH0aotZKrepY3ub/j6/9HCrDUOhILzihvXmkNt72/mVduGKXE+zXvwue3w9YP4OgG9dVJRPuSzNxGYhsgIsTIA5cOdq6YPBfqa9SEBKi6/wbXOD0tiWlDEh2TAPERqpe6Qa/joqGJ3PifDezPr+DRr7IanceJslqXn2mKKkV49RwVeQc4vrnZP9Pu0V24dmxP/p1xwE20g/od3vphJovPvoW0TQ+qqPvom1S0P0Dwy5zOagGzvZQgOLINzkoQhLZAUuUFQRAEQeiwaKny2QUVjmijK7UWK9stKQBMDvdgWuaCxWLFuF+1gfvBMtptm8fe5Je/7HSf1+k6jWi/7f3NjUQ7QHlNPesOFLmv1FrqgWo96eEaG5rFGfQqeb57dBc+vmU8QQbPyfSNfqYRCXDHz6DT+zyeLyxWm6OG3tvxbt0xEFt0b6gsgJ/fbNb+OzqVDuHuo7RA6+EOkiovCAGECHdBEARBEDos8REhJEQGK4O63MYGdT/nnGSrpQ8AydV7fO5r+7aN9LTlUmszssI6vNF2j73Jbfaors0Gy588nUtpdSxWm0qJ97JdR4OJCYB1r9g36sFS1+yuFfvyKzBbvB3Rw890w2tgsyrRfgrH25BT7HFSwvV4R8vqyR58m1qx+jmo82Bk10mpqPXDVV5LkzeYwOi7dEQQhM6DCHdBEARBEDo0Wls4T3XuS3fns8PaFwBd7laf+zHt/xaAddYhVNLF6zi33uST7gO9XSQtn9eh2zH6I2obTUwcWq2WL15wSi0n88u9H6/RONdWlw8WtOrxLEUHlfldVSFseN19YyfuDFDpT6q8JtxNUt8uCIGECHdBEARBEDo0vpzll+4+wQ6bSpXnRCbU13ndT8+CDAB+sI72OgZgZM7rToE59a+QMFRtGHpls4VmW3JKIjrIXv+dlO5sOdmMa4yPCPFrnNvPVEuPb8XjdenSRRnhgYq6a2K2E3cGgGZG3CVNXhACCjGnEwRBEAShQ+Mt4n6goIKDRVUEGRKwhUShqymFgl2QNKLxTioKiChQvd5/sozyeBwdqmVcjyiTu8DsPgpyt0FUD7XeavH4/vbGX1EbHxECJy0w8S5Y87yq409MUxu1a/bzGsemxJAUFUJeaY3HFH2vP1ONVjpe8qyHIToEMuZDdbFK0bdaGk8edCLqLVZqzFbAX+EuxnSCEEiIcBcEQRAEoUOjRdz351dQVVdPqEk9vizdrdzJx6XEoQtKh5wMOL7Vs3Df9x06bJRGDyEvLxYdeBR+D88Ygj7tfPeVyaNh01twfAvc9FWLXVdL46+oHZsSA/3uhz1LlHDvNhCCXEoHmiFqDXodD88Ywm3vb270M9Us6zz+TF1poeNh//7hGUOUgd6U/4P8nbDrS/jpUTWgk4p2wM1F369UeYm4C0JA0a6p8iUlJaxfv56TJ0+252kIgiAIgtCBSYgMoVtEMFYb7HIxqFu2Rwn3KYPioXu6Wumtzn33NwBEpc/ilRtGkRjlHp2OCDY6W8E1JNkeoT++tcNG28Epaj3hKqI1V3hyt6lXTxMdzWB6WpLHn2liVIj3n2krHA/AqNfRt5tLbfcv3sZ59cDIX7boubQlWn27yaDHZPTxCC893AUhIGk34f7pp5/Sp08fbr75Znr06MGnn34KwF133YVOp3N89e/f3/GezMxMxowZQ9euXbn33nux2ZzzrBkZGQwePJi4uDieeeaZNr8eQRAEQRBaDy1dfsdRlS5fXmNm/QFlsjZ1ULyq0QYVFW+IuRqyl6rlgRczPS2JVfdN5aNbxnPNWT0BSE0I9y4w4wZCUCjUlUPhvha7ptZAE7UhQe6PeB5FdAsJd+242s/0uWvT+eiW8ay6b2qLi3bvxxvHlIHdqLfa+PMnWzFbVEq56lHvEpd/ZQKUeW4n19Gp8KcVHEjEXRAClHYR7qWlpdx+++2sWLGCHTt28NJLL3HvvfcCsHHjRr7++mtOnjzJyZMn2bJF3YBra2uZMWMGo0ePZuPGjWRlZfH2228DUFBQwMyZM5kzZw5r167lgw8+YNmyZe1xaYIgCIIgtAJOgzoVcV+1r5B6q42UuDBS4sKc/chP7GxsUHcgA+qrIbIHJKo2cFpv8jvPVwGCrUdKKK0yez64wegyMbC5Ra+rNZielkRChGoDduvkft5FdAsKd/De7721cD9eHE9eNZzo0CAyj5XxwtL97i72f9wGwVFQfRJemdgpxXuFP47y4OzjLsJdEAKKdhHuZWVl/Otf/2L4cHXzHDVqFEVFRdTX17Nz504mTZpEdHQ00dHRRESoD51vv/2W0tJSnnnmGfr168e8efN48803Afjggw/o3r07Dz74IKmpqTz00EOObYIgCIIgdH4aGtRp9e1TB8WrAV37qPZfljplUOfKHpUmz8CLQecuJnt0DaVftzCsNlidXej9BLR0+WMdX7gXVdRyqLgagNvO6+dZRFcWQtlRQAeJw9r+JFuB+MgQHpulTPZ0rqJ98lz193HrSnfxXnqsfU+4mVT64ygPUGsvJxHhLggBRbsI9549e3L99dcDYDabefbZZ7niiivYsWMHVquV9PR0unTpwvTp0zl8+DAA27ZtY/z48YSGhgIwfPhwsrKyHNumTJmCzn4zHjt2LJs2bfJ6/NraWsrKyty+BEEQBEHouGjCfV9+OVV19SzbUwC4CHedzhk5dk2Xt1ph7xK1PPBij/uePEDtY8XeAu8noEX0j3l/vugobD1SAkD/+HCiugR5HqR5AcT2DyiBN2NEdy4bnoQOC28FX0fNxHucG7v2httWQYhdvL99KZQebb+TbSb+C3etj3vg/F4FQWhnc7pt27aRmJjIkiVLeP7558nKymLgwIG89957bN++HaPRyO9+9ztARelTUlIc79XpdBgMBk6ePNloW2RkJMePe0+Bmj9/PlFRUY6vnj17tt5FCoIgCIJw2iREBhMXbsJqg083HqWwopbwYCNj+sQ4B2kGdce3Otcd3wwVJ5SI6XOOx31PGhAHQMbeAjf/HDeS7b3fT2RCfe3pXUwrs/mwMv0d2TPa+6AWTpPvSDw2K40PulzPI6WXsWDJbtZmF/HF1mOszS7CEtkTbl0F0b3hZI4S7yVH2vuU/aKiVhkjNpkqLzXughCQtKtwHz58ON9//z2pqancfPPNXH/99WzcuJEJEyaQmprKyy+/zA8//EBZWRlGo5Hg4GC394eEhFBVVdVom7beG/fffz+lpaWOryNHOscHtiAIgiCcqeh0OoZ2V32pn/lhLwBn94t1d9fWouKuzvJamnz/88Ho/hyhMb5vLMFGPbmlNezPr/B8Al37QJcYlYp/IvM0rqT12XK4BIBRvbt6HxTAwr1rmIknr1Lp//9ZfZA5r6/jjx9vZc7r6zjnyaUsORoEN32tfqcnD8KrZ0PJ4cY7ylgAy+a36bn7wv+Iu9S4C0Ig0q7CXafTMXr0aN555x0WLVpESUmJ2/b4+HisViu5ubnExMRQUOCewlZeXo7JZGq0TVvvjeDgYCIjI92+BEEQBEHouCzJzGXTIRVJLq1WJnLrcopZkpnrHKQZyLka1O35Vr0OutTrvkOCDKq3OSrq7hGdrlPUuVusNrbZU+VH9or2PjCAhTtAXb3V4/q80hpue38zS44alXgPiYaaUmyvnsPmbdsckXnr8idVjby+CQf3NkRc5QXhzKZdhHtGRobDRR7AZDKh0+l45JFH+PDDDx3r165di16vp2fPnowZM4a1a9c6tuXk5FBbW0tMTEyjbVu2bCE5ObltLkYQBEEQhFZlSWYut72/2ZEqrFFabVYiTBPvrgZ1+VlQnKNedQbof4HPY0we0A3wIdwBumv93D20nOsg7D1RTmWdhfBgI6nxXoRb9UkVaQZIGt5m59ZWWKw2Hlmc5XGbVgjxyOIsLBHJcNsa6kxR6GpK6bdoOs/+91vW/Gcu+uXz2DfkLmVs10Hw21Ve+rgLQkDSLsJ9wIABvPbaa7z22mscOXKEv/71r1x44YWMHj2aBx54gJ9++onvv/+eW2+9lRtvvJHQ0FAmTZpEWVkZb731FgDz5s3jggsuwGAwMHPmTFavXs2PP/6I2WxmwYIFXHTRRe1xaYIgCIIgtCCaCPNSeQ7YRZjVpqLiWp177lZntL33RAiN8fZ2wCnc1+cUU11n8TzIEXHvuAZ1Wpr8iJ5R3tux5W5Xr9G9oYuPdPpOyoacYnJLa7xutwG5pTVsyCliyRE9k8oep9gaTpSuimWme7gnaCHPmGdz4ebx7hkd7UzzXeUlo1QQAokm/vNbh6SkJBYuXMjdd9/NX/7yFy666CLeffddunXrxs6dO7nqqqswGAzccMMNzJs3T52o0cgbb7zBnDlzuPfee9Hr9SxfvhyAuLg4nn32WS655BLCw8OJjo529HgXBEEQBKHz4r8IK2ZCv1iVLn9guYqKF2WrQV7c5F3paRpVFQAALHZJREFUHx9O96gQjpfWsD6niPMGxjcepEXcC/aoqGYHTEV2GtP5Ud+uTXIEGPnl3v9eXLn9g03U1tuoIobpdU+yLvgO9Do1RZSmzyHWUsoji7OYNiSx1XvS+0OFv8Jd+rgLQkDSLsIdYNq0aezcubPR+vnz5zN/vmcjkJkzZ5Kdnc2mTZsYP348sbGxjm233norF110Ebt37+bcc88lPFzSgwRBEAShs+OvCHOM08Rozgo4eUgt+yHcdTodkwZ04+Ofj5Cxt8CzcI9IgMgeqv/58a2Qcq5f59aWbLEL91G9o70PCvD69viIEL/GnayqdyxfY1iGXmej3qbHqLNyoWETI/X7+L/yW9iQk64mhdqZyuamypvkWVgQAol2Nac7FRITE7n00kvdRLtGSkoKF198sYh2QRAEQQgQ/BVh8REhygH8yAa1ovgA2CzQbTDE9PXLIVxLl/fZz11Llz/e8QzqSqrqyC6oBCDdn4h7gAr3sSkxJEWF4C1GrgMSI0O4+WzVSvhOwyLuCVrI0+bZ9K99n3frlR9CN10Zb5qeZvCXl8FPj3neWRs6z1faPR58Rtzra5XHA0jEXRACjE4n3AVBEARBOHPwR4QlRYUoV3i9Ada9DEYXsT/wYru4atohfGL/OAx6HdkFlRw96aWtbAd2lt9qd5NPiQsjJsxLd53acijar5YTA1O4G/Q6Hp4xBKDR3432/d9nDuH8IQluov0Fy5UAPFT/G54zXwGA1QbRpVmw8p/w5Z3uO/Pz76qlKPcn4l7r0s5QhLsgBBQi3AVBEARB6LD4I8IenjFE1SBPngtT/gb1Lun1VcVKXE35W5MO4VFdghjZMxqAFXsLPQ/q3nGFu2ZMp12DR/J2ADaITIbwbm1xWu3C9LQkXrlhFIlR7hkbiVEhvHLDKKanJTE2JYaoED3PuIh2jWctv+AZ82y+NZyHLaqHWrn5XXjrErCYnaLdj7+rlqLSn3ZwmjFdUFiHamUnCMLp02417oIgCIIgCP6gibBHFme5GdUlRoXw8IwhTE9Lcg6ePBeyl8Jhe5vYzW83S1xNGtCNjYdOkrE3n+vG9Wo8oHs6oIPSw1BR0KHEr8OY7gzu3+7K9LQkpg1JZENOMfnlNcRHqMwMzWjOoNfR44pHue39zeigUeeC5y1X8uqVo9D1D4Vv5sL2j+HQanismxrdhqId/HSVl1ZwghCwiHAXBEEQBKHD05QIc+OiefD6FLVsMDVLXE0e0I1nftjLmv1FmC1WggwNkhNDoiAuFQr3qjr3AR2j/azVanOkyo/s5U99e3qrn1NHwKDX+TSW8zYpBJAcHaJMCoMMcOW/YeB0+PQmwAY6PUy6t3VPvgF+9XF3CHdJkxeEQENS5QVBEARB6BRoImxWejIT+sV6b9G1/0f7G0zKqCtjgd/HSEuOomtoEOW19Y7U80Ykj1avHShdPruggvKaekKC9AxK9CHazqCIu79MT0ti1X1T+eiW8Tx3bTqv3DCK2LAgjpXUMO+bXc6BhfucyzYrfHhNm52jzWZzRNwjfAl3aQUnCAGLCHdBEARBEAIH19rjBwvU67LH/RbvBr2Oc1ObcJfv3vGc5bVJhuE9ojE2zBLQqKuCgt1qWYS7G66TQhenJfH01ekAvLv2EN/vzHP/u5r2qHrTvu8aG9a1EjVmK1Z7Lr9E3AXhzESEuyAIgiAIgYEnwzDNsK4Z4n2SvS1chjfh7nCW3wS2hpXR7cOWI/b+7b7S5POzVKQ4LB4iEtvozDon5w2M55ZzVbu4fQsfcv+7mngXDFWu82x+F75/sNXPp7zWDIBOB6EmP8zpTCLcBSHQEOEuCIIgCEJgYLV4NgzTxLvV4tduJqXGAbDjWCmFFbWNBySkgT4Iqoqg5PDpnnWLsPlQCdCEMd3xLeo1aYRSgIJP7r1oEMOSozCbzfw3/JfUnf0X1mYX8cW246wf9ii2eNXtgMz/QX1dq56L1sM9zGRE5+t3JxF3QQhYxJxOEARBEITAYMr93rc1w6AuPjKEwUmR7MotY9W+Qi4fmew+ICgEEoZC7laVLt+196mdbwtRXmNmb74SbOIo33KYjHqenzOSS5+/hqpCC4899oPDIA5gTMTtfBh0P0Flx+C7++HSp1vtXPxqBQfOPu4i3AUh4JCIuyAIgiAIQgMmD2iizt1hULepjc7IO9uOlGKzQY+uXYiPCPE+UBPu3dPb5LwCgZS4MH4xWvVxdxXtABvLY7i18vfqm5/fgC0ftNp5+OUoDxJxF4QARoS7IAiCIAhCAyYNUOnyK/YVYLV6qGN31LlvacOz8swWR/92H/Xt9bWQb3dIl4i731isNr7LOuFxmw1Yah3F6wa7u/xXf3KWI7QwfjnKg/RxF4QARoS7IAiCIAhCA87qHUOXID2FFXW8kpHN2uwiLK4C3uEsv8Xv2vnWYou9f/soX2ny+bvAaoYuXSGqZ5ucVyCwIaeYvAb93V2xAfMqZ1Ad0QcstfDfX0JlofugjAWwbP5pnYf/EXe7OV1w5GkdTxCEjocId0EQBEEQhAYs3X3C0X7rqe/2MOf1dZzz5FKWZOaqld0GQlAYmCuhcG+7nafNZvMv4p67Vb2KMV2zyC/3Lto1bOg5nHih+qb0CCz8DVjsafVapwN9E7XpTeAwp2tKuEsfd0EIWES4C4IgCIIguLAkM5fb3t9Mbb3VbX1eaQ23vb9ZiXe9wVkrfqz9+rkfLKriZJUZk1HPkCQfUVYxpjslfHoGuFA8/v9g7O/UNzkZ8NMjntsTniIV9nZw4VLjLghnLCLcBUEQBEEQ7FisNh5ZnIWn7uzaukcWZ6m0edd+7u3E5kMq2j4sOQqT0cdjnQj3U2JsSgxJUSF4y1HQAUlRIYxNiYFLnnL2d1/zfIuJdoAKR8S9KVd5u3A3SY27IAQaItwFQRAEQRDsbMgpJreJmubc0ho25BS71Lm3X8R9yxF7mnzPaO+DLGbIy1TLSemtfk6BhEGv4+EZql+7N/H+8IwhGPT2rb94G3Ta47WuRUQ7uLaDk4i7IJypiHAXBEEQBEGw409Ns2OcFnHPy1Su7e3AlsMlAIzq7aO+vXCvMk4LjoSuKW1zYgHE9LQkXrlhFIlRjdPm75jan+lpSc4VGQvAppVY2OCLO1rkHPx3lddq3MWcThACDRHugiAIgiAIdvytaY6PCIHo3hAaq9zatYh2G1JVV8/uPBVhHenLUV5Lk08cDnp59DsVpqclseq+qXx0y3ieuzadS9ISAVixtwCbzV5E4VrTPupXat2W99T608QvV3mbzcVVXiLughBoyKe3IAiCIAiCnaZqmsGlplmna9d0+e1HS7FYbSRGhpAU1cX7wONb1avUt58WBr2OCf1imZWezKOXp9ElyMC2o6X8uCu/sRHd2X90pswve/y0xbtfqfJ1lTicGKSPuyAEHCLcBUEQBEEQ7PhT03z3+anOmubk0eq1HQzqNtvbwI3qHe17oBjTtThx4cHcdHYfAJ75YS82S727EV1sPxgySy3HDwWr5bSOp0XcfbrKa/XtOj0EhZ7W8QRB6HiIcBcEQRAEQXDBW02z0S7Wv87Mw6o1eXc4y7d9xF2rbx/Z00d9u9UCeTvUsgj3FuV35/YlPNjIrtwyvu3268ZGdGffrV4LdkP6nNM6VoU/fdxde7jrfOWMCILQGRHhLgiCIAiC0ICGNc0f3TKer+86h2CjnhV7C3hn7UE1UEuVL9wLNWVtdn42m83FmC7a+8CibDBXqghsXGqbnNuZQtcwE789R5n9PfvDXtUi0JXu6dBvKtgssOaF0zpWpSPi7qMdnKO+XYzpBCEQEeEuCIIgCILgAdea5gn9YhmYGMnfLh0MwPxvd1O4+O+w6S2I6gXYIHer880ZC2DZ/FY5L4vVxuJtxymsqMWgh0GJPoSaw5huGOib6AEuNJvfnptCVJcg9uVXsHjb8cYDzvmzet3yPlTkn/JxnMI9yPsg6eEuCAGNCHdBEARBEAQ/+eX43kwZ2I26eivf7MxXxmMmez2xli6vGZW1glBekpnLOU8u5a6PtwJgscIFz2SwJDPX8xu0yQRJk28VIkOC+N2kvgA899M+6i1W9wF9zoHks6C+Bta/esrHcbrK+4q4Sw93QQhkRLgLgiAIgiD4iU6nY8HsEcSGmXio5FKWd79F1TADHP25sbt4C7IkM5fb3t9Mbql7r/m80hpue3+zZ/EuxnStzk0T+xATZiKnsJJFW465b9Tp4Jw/qeUNb5xSOYXZYqW2Xk0I+Danc6lxFwQh4BDhLgiCIAiC0Ay6RQSzYPZwAG46MIXcvrPVht1fwbLHsU64s8VFu8Vq45HFWdg8bNPWPbI4C+vSec7WY1aru3BvxfT9M5mwYCO3Te4HwPM/7aOuvkHUfeAlEDcQakth43+avX8tTV47llccEXdJlReEQESEuyAIgiAIQjM5f3ACN4zvBcDZu67AYnO6eFevfZ3d//sHWMwtdrwNOcWNIu2u2IDc0hqOltY5+4aXHFSGZYZg2PVVq6XvC3DD+N50iwjm6Mlqnvh2F19sPcba7CJlWKfXwzl3q4HrXgaz99+jJ7Q0eZNRT5DBx6O7w5xOIu6CEIj4mLYTBEEQBEEQvDGmTwzvrzvMH/SfYdDZMNsMBOkshFHDoB1PUXFwEeEpY1RPb08R+IwFql3blPubPFZ+uX9ib0vKLfSKCVUiPT9LrQyNgYwnWiV9X1B0MRmYMrAbn2w8yn9WH3SsT4oK4eEZQ5ieNhuWPg5lR2Hbh3DWb/zed6W9FZzPNHlwibiLq7wgBCIScRcEQRAEQWgmFquNJ77dzZ2GRdwTtJCnzbNJrX2PZ8xXAVBlMxFeng3bP1Yi+ru/ue+gmQZ28REhTQ/Sxk2eq0T6zs/UyvJcEe2tzJLMXD7deLTReof/wO4imHiHWrn6ObDUNxrrjQqHo3wTwr1OatwFIZAR4S4IgiAIgtBMNuQUM7viQ4dof8FyJQDPW67iafNsQnV1bLb0w6azP2qtfRHenQX1tadkYDc2JYakKO/iXYeK7o5NiVErJs+1rwX0RhHtrYi//gOW9F9Clxg4eRCyPvd7/5UOR3k/I+7SDk4QAhIR7oIgCIIgCM0kv7wGg87qJto1XrBcydPm2aywjWD5eQuh1wS14cBy+EfCKbnOG/Q6Hp4xxOM2rbr+4RlDMOjt330zF4dstNY7DeuEFsdf/4ENx2ph3K1q3apnWbu/0L0W3gvOHu5NZGdIOzhBCGikxl0QBEEQBKGZxEeE8Mf62V63a2L+ox7pMOlb2P5f+Oz3KBmng7P/2OxjTh2UQHiw0ZE6rZHoqKNOUisyFsCGf6vl/tOg51g1WQASeW8F/PUf2J9fzoS6Siy6IAwnMnn1P6+RYVVt+pKiQni333JSu4U28jwob27EXYS7IAQkItwFQRAEQRCaiZa6nlda4zFFGiAu3KRS13U6KDnsssUG/5kOv1vWrGMu3X2Citp64sJN/OuadIoq64iPUOnxjki7loYfGgtVRZB2JaRfp7aJeG8V/PUfeGRxFqHdTnKVTXUbuN34BRl1Srj/ouJDUrMWsm/IXaQ2eF+zU+XFnE4QAhJJlRcEQRAEQWgmrqnrOi9jasxWcgor3Gvar/tUbTy+GT6+vlnH/MRufjZ7dE/OSe3GrPRkJvSLdYp2UC71Y25Rot1ggkGXqvWaYZ3V0qxjCk2jTeJ4+zsACDLoqLfauOfEdP5tVr+TcfrdjNLt5U7DIv4ctJBnzLO5Mfu8RmnzjlR5k7/CXWrcBSEQEeEuCIIgCIJwCkxPS+KVG0aR2MA0LjEymJ4xXaioreenf/8Flj2O9by/srbHb/miaihHhtvT5Hd/BV/9ya9jnSirYfmefAB+cVYP7wOn3A8hUWq5/wXOZbCL96ZbzwnNw9ckjs7+9fy1I3nw0sEAzLdczw5LHwD+Z/o79wQt5IP6qTxvuYLc0hqOf/6QmydBhdYOLsRonwSa7/lEJFVeEAIaSZUXBEEQBEE4RaanJTFtSCIbcorJL69xpK6XVpu59rW1VBfV8XLQNby9ejT55esA0DGG90NHc7Z1E+xYCFMfVL3WffC/zUex2uCs3l3p181HRNVmg52L1PLQK72PE1oUbRLnkcVZbkZ1rv4DX2w95lh/W/3drNTfjc6u9K83LmWCPosvrROpqwiF7c+rDZPnOiLuU/Pfho3/VpkTnhDhLggBjQh3QRAEQRCE08Cg1zGhX6zbupgwE+/fPI5Ln6ujoKIOqHVss6Hn9qrf86XpAXrX5sP/fgvXL/Ta091mszl6hF99Vk/fJ5O7DYoPgDEEBk4/resSmoe3SRytlMG1Fv4K/Sp0OjDbDATpLJhtBvrq87hbvwgOABFJqryitpzK2qu407CIsw8v9N6NwFIP9dVqWWrcBSEgkVR5QRAEQRCEViA2LBhHSLUBpYRzq/nP1GCC7KWwbJ7X/Ww8dJKcwkpCTQYuGZ7k+6BatH3ARRJ5bQe0SRxP/gNaLfxdhkXcE7SQp82zSa19j6fNswnSWfimfixr9KOw6QxQnqvetOZ5/rnrPO4JWsi21D94NxasK3cuSx93QQhIRLgLgiAIgiC0Ahtyiikor/W6fZetF/fV3ay+WflP2P21x3Gf/HwEgEuHJRHuy1ncZoOdn6llSZPvcBj0Ot7tt9xhRKe1DHzBciXPmGdziXED3Qadg+6ePXDJP6HHWAD02DDb9Bwc+gfvO9fS5A3BYDS18pUIgtAeiHAXBEEQBEFoBfzp7/2F9RwO9LW7y3/6ayjc77a9oraenjte5G7jQq4e00Sa/LFNqu1cUBikXniqpy20IqndQtk35C4+Db/Obf07pqtVK7huoRDeDcbeAqnTHNuDdFbS9v3b+46lvl0QAh4R7oIgCIIgCK2Av/2988c/CJE9wFIL/7kIaisc2w7+72Hu0n9CZGgIZ/Xu6ntHmfY0+YEXgyn0VE9baE2m3E/q1Y+x6r6pfHTLeK4YmQxA37gwUq9+zOn6r7UQHPs7AOptOvrtfM7Nbd4N7W9GhLsgBCwi3AVBEARBEFoBf/p7J0WFMKZ/ItzyE5jCoKoQ3rhApb1nLCBt74s8bZ5NzcR70HmplwfAanWmyadJmnxHR6uFv/+SQeh1sOVIKYeKKtVGTbRP+Rtc8hR7dX0w6myU9bpArfck3qWHuyAEPO0q3EtKSli/fj0nT55sz9MQBEEQBEFocXz199a4Y2p/ZWAWkQjX/w90eijYBY/GwrLHedo8m5esV3LVKB+92wGOrIfy48pRvP8FLXshQqsRHxHC2f3jAPh8y3G10mpxc4//0noOACZzmVpvtTTeUW2ZehVHeUEIWNpNuH/66af06dOHm2++mR49evDpp58C8MUXX9C3b1+MRiPp6ens2rXL8Z677roLnU7n+Orfv79jW2ZmJmPGjKFr167ce++92Gy2Nr8mQRAEQRAEV7T+3olR7mnzQQYl5f/78xFqzHYh1nsCXDRfLdssWHRGXrBcyXkD40mIbCLtXnOTH3QpGINb8hKEVkZLl/986zH1/Drlfodot9lsLKwbj9WmIyR3Awy/xplO74rUuAtCwNMuwr20tJTbb7+dFStWsGPHDl566SXuvfdesrOz+fWvf80TTzzBsWPHGDBgADfffLPjfRs3buTrr7/m5MmTnDx5ki1btgBQW1vLjBkzGD16NBs3biQrK4u33367PS5NEARBEATBjelpSY6a5ueuTeejW8bz458n0zU0iO1HS3noi0xnwKGm1PE+g62euw0LufqsJqLtVgvs/Fwti5t8p+OioYl0CTKQU1jJtqOlbtuq6izk2WJYa1WZG+z41PNO6qTGXRACnXYR7mVlZfzrX/9i+PDhAIwaNYqioiJ27drFE088wdVXX01CQgK33XabQ5zX19ezc+dOJk2aRHR0NNHR0UREqA+nb7/9ltLSUp555hn69evHvHnzePPNN9vj0gRBEARBEBrRsL9379gwXpgzCr0OPtl4lA83HFa1y8vnwcS7MJuiAbg7aBEXFLzre+cHV0FlPoREQ9/zWvtShBYmLNjIhUMTAPh8yzG3bZW19QB8aT1brdj+ifI/aIgWcZce7oIQsLSLcO/ZsyfXX69an5jNZp599lmuuOIKLrvsMn73u985xu3Zs4fU1FQAduzYgdVqJT09nS5dujB9+nQOHz4MwLZt2xg/fjyhocpBdfjw4WRlZXk9fm1tLWVlZW5fgiAIgiAIbck5qXHMnT4IgIKvHoNlj2M976+s7Xc3zwT/HgArOowZ87y7iYMzTX7wDOnh3Um53J4uv3jbccwWq2N9hV24rzBOVD3aC/dA3vbGO5BUeUEIeNrVnG7btm0kJiayZMkSnn/+ebdtdXV1PP3009x6660AZGVlMXDgQN577z22b9+O0Wh0iPyysjJSUlIc79XpdBgMBq+md/PnzycqKsrx1bNnE31RBUEQBEEQWoHfT+rLxWmJYLPwElczfvVo5ry+jlcKRvC5ZSJ6bNSZosDspSe8xQxZX6plcZPvtJzbP47YMBNFlXWs2l/oWF9Za/c/CImEgdPV8vZPGu9AzOkEIeBpV+E+fPhwvv/+e1JTU91q2QEefvhhwsLCHOuvv/56Nm7cyIQJE0hNTeXll1/mhx9+oKysDKPRSHCwuxFLSEgIVVVVHo97//33U1pa6vg6cuRI61ygIAiCIAiCD3Q6HU/9YgT/Db2Bp2ouJ7+81rHtIfNN5NpiMNWVcig3z/MOcjKguhhC46DPpDY6a6GlMRr0zBjRHXBPl9ci7mHBRmVMB7BjYWNneenjLggBT7sKd51Ox+jRo3nnnXdYtGgRJSUlACxdupSXXnqJDz/8kKCgII/vjY+Px2q1kpubS0xMDAUFBW7by8vLMZk8p4sFBwcTGRnp9iUIgiAIgtAedAkyUG+1NlpfRjj3mlXKfO/sD7DsW9r4zZn23u1DZoLB2JqnKbQyWrr8dzvzHIK90lW495+mfAwq8iBnhfubpY+7IAQ87SLcMzIyuPfeex3fm0wmdDoder2enJwc5syZw0svvcSQIUMcY+69914+/PBDx/dr165Fr9fTs2dPxowZw9q1ax3bcnJyqK2tJSYmpm0uSBAEQRAE4RTZkFNMQUWdx22rrMN4p34aAPWf3QbVLmWA9XWwe7FaFjf5Ts+IHlGkxIVRY7by/U6VYaEJ+PBgg/IvGHqFGtzQXV5q3AUh4GkX4T5gwABee+01XnvtNY4cOcJf//pXLrzwQoKCgrjsssuYNWsWV1xxBRUVFVRUVGCz2RgxYgQPPPAAP/30E99//z233norN954I6GhoUyaNImysjLeeustAObNm8cFF1yAwWBoj8sTBEEQBEHwm/xyL/Xrdp6on8MBayLBVXnwjTPwQfZS1T4uPAF6T2zlsxRaG51Ox+XpKur+mT1d3pEqb7JnU2jp8llfgrna+WYR7oIQ8LSLcE9KSmLhwoU899xzDB06lKqqKt59912+//57srKyeP3114mIiHB8HTp0iBtuuIFrrrmGq666ijlz5jB9+nRefPFFAIxGI2+88QZ33HEHcXFxfPHFFzz55JPtcWmCIAiCIAjNIj4ixOf2akL4s/l2bDq9irRm2l3kNTf5IZeDXoIVgcDlI1Wd++r9heSX1zhS5cOD7cK95ziI6gV15bDnW+cb67R2cCLcBSFQabdiqGnTprFz5063dbNmzcLmqTelnfnz5zN//nyP22bOnEl2djabNm1i/PjxxMbGtuj5CoIgCIIgtAZjU2JIigohr7QGT09BOuBEZBokjIPDa+HrP0PyKNj9jRqQdqVqF2e1wJT72/LUhRamd2wYo3pFs/lwCYu35TqFe4j9kV2vh+G/gJVPK3d5rZOARNwFIeBpV3O6liYxMZFLL71URLsgCIIgCJ0Gg17HwzOUr4+uwTbt+4dnDEGXMll9U30S3rpURVkje8CBDFj2uETdA4Qr7CZ1n285RoW9HVxYsEusbdjV6nX/D1BZBDabCHdBOAMIKOEuCIIgCILQGZmelsQrN4wiMco9bT4xKoRXbhjF9LQkFU0f+zu1oeyoeo1KhuXzYMrfYPLcNj5roTW4dHh3jHodO46Vsu1oCeCSKg8QPwgSh4O1HrI+g/patQwi3AUhgJG+IYIgCIIgCB2A6WlJTBuSyIacYvLLa4iPCGFsSgwGvUsc/pKnoCgbsn9S3x9ZL6I9wIgJMzF5QDd+2p3PpkOqi0B+WQ0Wq835tzD8asjbDts/hcGznG82STs4QQhUJOIuCIIgCILQQTDodUzoF8us9GQm9It1F+0a1y8Enf0R7v/bu/fYKOp+j+OfvfQC0m6BQimCaUFAKqkUBPbIRUg0EKHcrITGJ4AJAfUP/lEfIMZULsd4CFoQoVUQPMmh5tEEhSbmMWKB0KZYAQuSyiVlARF4nlYsu6W0tLtz/tjThdKCcNy609n3K2na+e3s9DvJt5P9dGZ+44gltFtQWvJDbZb/u/y8JvxXif554nJwYESOJJv0yyHpXz8Fx2J7BO+BB2BJ/HUDAAB0JQfXS0YgGNr9N4MT08Ey/nnisraXetqNX7nWqFf+52gwvCemSumTgi8c3h78zmXygKUR3AEAALqKA+uCE9FNeVN6qyb4fd9/Et4twh8wtKq4qsOnC7SOrSqukj9g3Hqme+vTBQjugKUR3AEAALqC20N76+XxT/+d8G4hFZ6runyt8a6vG5IuX2tUheeqNDxbcsZLRnDmee5vB6yNyekAAAC6goC/44noWpcD/r++JoTVv313D+3t1iv/WOqZLtX8HBy8/Yz7gXX/1y8rO6FKAJFAcAcAAOgK7hXCmKDOEvomxP/xSq3rXXPcCu3SreB++5UZACyDS+UBAAAAExib3kuprnh18CwBSZJNUqor+JhAPf136ekVt16MS+z4dgoAlkBwBwAAAEzAYbcpLztDktqF99blvOyMW48JnLJSenh08Ofj/yC0AxZGcAcAAABMYtqIVBX8bZT6udpeNt/PFa+Cv43StBGpbd+wYLdkcwQnqXPEEtoBi+IedwAAAMBEpo1I1bMZ/VThuap/+xrVNyF4eXzoTPvtDhXcCu3+m8HL5QnvgOUQ3AEAAACTcdht+o/Bve+90p33tLcuS4R3wGII7gAAAEBX09FEdK3fCe+A5RDcAQAAgK4m4O94IrrW5YD/r68JQKexGYZhRLqISPN6vXK5XLp27ZoSExMjXQ4AAAAAwOIeJIcyqzwAAAAAACZGcAcAAAAAwMQI7gAAAAAAmBjBHQAAAAAAEyO4AwAAAABgYgR3AAAAAABMjOAOAAAAAICJEdwBAAAAADAxgjsAAAAAACZGcAcAAAAAwMQI7gAAAAAAmBjBHQAAAAAAEyO4AwAAAABgYgR3AAAAAABMzBnpAszAMAxJktfrjXAlAAAAAIBo0Jo/W/PovRDcJfl8PknSwIEDI1wJAAAAACCa+Hw+uVyue65jM+4n3ltcIBDQpUuXlJCQIJvNFuly7srr9WrgwIH65ZdflJiYGOlygE5FvyOa0O+IJvQ7ogn9jnsxDEM+n0/9+/eX3X7vu9g54y7JbrdrwIABkS7jviUmJvKHj6hBvyOa0O+IJvQ7ogn9jrv5ozPtrZicDgAAAAAAEyO4AwAAAABgYgT3LiQuLk55eXmKi4uLdClAp6PfEU3od0QT+h3RhH5HuDA5HQAAAAAAJsYZdwAAAAAATIzgDgAAAACAiRHcAQAAAAAwMYJ7F3HixAmNGTNGPXv21BtvvCGmJoDV7N69W4MGDZLT6dTIkSP1888/S6L3YW3Tpk3Tp59+Kkk6cOCAhg8fruTkZL3//vuRLQzoBMuXL1d2dnZomeM7rGbbtm0aOHCgunfvrsmTJ+vs2bOS6HWEB8G9C2hqalJ2drZGjx6tw4cPq6qqKvRBD7CC6upqvfTSS3r33Xf166+/aujQoVq8eDG9D0vbuXOnvvnmG0lSTU2NZs6cqdzcXJWXl2vnzp3at29fhCsEwuf48ePasmWLNm7cKInPNrCe6upqrV69Wrt379bJkyc1ePBgLVq0iF5H+BgwvS+//NLo2bOncf36dcMwDKOystIYP358hKsCwqe4uNj46KOPQsslJSVGt27d6H1Y1m+//WakpKQYw4YNM3bs2GHk5+cbjz32mBEIBAzDMIyvvvrKePHFFyNcJRAefr/fGDdunPHWW2+Fxji+w2q++OIL44UXXggtl5aWGqmpqfQ6woYz7l3AsWPH5Ha71b17d0lSZmamqqqqIlwVED4zZszQkiVLQsunTp3SkCFD6H1Y1muvvaY5c+bI7XZLCh7np0yZIpvNJkkaO3asjhw5EskSgbApLCzUTz/9pLS0NO3Zs0c3b97k+A7LycjIUElJiSorK3Xt2jVt2bJFzz77LL2OsCG4dwFer1fp6emhZZvNJofDod9//z2CVQGd4+bNm3rvvff08ssv0/uwpH379um7777TunXrQmN39npiYqIuXboUifKAsKqvr1deXp4GDRqk8+fPKz8/XxMmTOD4DsvJyMhQTk6OsrKylJSUpPLycq1fv55eR9gQ3LsAp9OpuLi4NmPx8fFqaGiIUEVA58nLy9NDDz2kxYsX0/uwnMbGRi1dulQFBQVKSEgIjd/Z6/Q5rGLXrl26fv269u3bp1WrVunbb7+Vz+fT9u3bOb7DUioqKlRcXKxDhw6prq5Oubm5eu655/gsg7AhuHcBvXr1Uk1NTZsxn8+n2NjYCFUEdI6SkhJt3rxZRUVFiomJofdhOWvWrNGYMWM0ffr0NuN39jp9Dqu4ePGi3G63kpOTJQX/SZWZmam6ujqO77CUzz77TPPnz9e4cePkcrm0du1aVVdX81kGYeOMdAH4Y2PGjNHWrVtDyx6PR01NTerVq1cEqwLCy+PxKDc3V5s3b1ZGRoYkeh/WU1RUpJqaGiUlJUmSGhoa9Pnnn0uSnnrqqdB6P/74ox5++OFIlAiE1YABA3Tjxo02Y+fPn9eGDRu0adOm0BjHd3R1gUBAtbW1oWWfz6eGhgY5nU6Vl5eHxul1/H9xxr0LmDRpkrxer3bs2CFJeuedd/TMM8/I4XBEuDIgPG7cuKEZM2Zo1qxZmjNnjurr61VfX6+JEyfS+7CUgwcP6sSJE6qsrFRlZaVmzpyp1atX68KFCyorK9PevXvV3NysdevWaerUqZEuF/jTpk+frqqqKhUWFurixYv64IMPdOzYMc2dO5fjOyxl4sSJ2rVrl/Lz81VUVKTZs2erX79+WrZsGb2OsLAZhmFEugj8sT179ig3N1fdunWT3W7X/v37Q2clga5u9+7dmj17drtxj8ej48eP0/uwrEWLFmny5MlatGiRCgsLtWzZMvXo0SM0sVFKSkqkSwT+tLKyMr3++us6duyYUlNTtWHDBmVnZ/PZBpZiGIbWrl2rbdu26fLlyxoxYoQ++eQTZWVl0esIC4J7F3LlyhUdOXJEbrdbvXv3jnQ5wF+G3ke08Hg8OnnypCZOnKgePXpEuhyg03F8R7Sg1/FnEdwBAAAAADAx7nEHAAAAAMDECO4AAAAAAJgYwR0AAAAAABMjuAMAgPu2ceNGrV+/XpLU0tKipqYmBQKBCFcFAIC1EdwBAEA7eXl5ysnJaTeelZWlN998Uz/88IOKiorkcrnkcrmUlJQU+oqJidGHH37Y7r1nzpzR6dOnJQUfAzlu3LhO3w8AAKyA4A4AQJRxOBxKTEwMhexNmza1Wyc2NlaxsbHtxidNmqRXX31VXq9XCxYsUGNjo3w+n+rq6kJfU6dOVXx8fLv3bt++XR9//LEkyel0tlnH7/frxo0bYdxLAACswxnpAgAAwF8rJiZGR48e1aOPPqoZM2bI6XTq7bffVkxMjOx2u2w2m8rKynTlyhWtWbNGs2bNUmZmpgYPHqzNmzcrPz//D3+H09n+I4bD4ZDD4ZAk2e12ff/990pLS5MUDO5ZWVnas2dPWPcVAAArILgDABBl7gzVMTExysjIkNPplNPplM1m05kzZ9TU1KTHH39cLpdLUvAsfFxcnCQpMzNTXq+3zXaWLl2qlStXthkLBAIKBAIdBnm32639+/e3GWtublZMTMyf3UUAACyF4A4AQJSx2+0aNWqU7Ha7rl+/rueff17z5s1TZWWlRo4cKUk6deqU/H6/5s6dG3qfw+GQzWaTJF25ckUVFRWhM+YrVqzo8FL3iooKjR8/XgkJCbLbg3foFRYWyjAMBQIBJScnh9ZtaWmR3W7X1atXO2nPAQDomrjHHQCAKGO323X06NHQ/eg2m02nT5+W2+3W2bNn73sb9zM2duxYNTc3q66uTlevXpXH41Ftba2+/vprLVmyRLW1taGv1nUAAEBbBHcAAKJMR49vGzp0qHJycrRmzZr73s6ECROUlpamtLQ0FRQUdLiO3W4PBfrS0lKlp6frwoULqqmpUVlZWWi9pqYmzZ8/XydPnnzAvQEAwPoI7gAARBm/399m2TAMSdKSJUvUrVu3+95OaWmpzp07p3PnzumVV16557pHjhxRTk6OCgsL9cgjj4Tup5eC/0hYuHChqqqq1KdPnwfcGwAArI973AEAiDJ+v19jx46V3W6X1+vVrFmzJAUf9TZp0qT72kZr2L9dR2fyJamkpEQ5OTkqKCjQvHnz2rzW0NCgBQsWqLq6Wnv37lXv3r0fcG8AALA+gjsAAFGmpaVFFRUVocfBNTc3P/A2UlJSNHny5DZjS5cu7XDd+Ph47dixI/QPglbnz5/XE088odGjR+vgwYPq0aPHA9cBAEA0ILgDABBl+vTpE7pMfevWrerevXu7dbxeb2gG+VYNDQ1qaWmRJB0/frzDbRuGodra2tA2/X6/BgwYoKSkJO3du1cej0eHDx9WcXGxhg0bphUrVmjq1Knh3D0AACyH4A4AQJS5fPly6OfU1NQ2r9XX18vtduv06dMqLCxs91pjY+Ndt1tbW6shQ4YoJSVFEyZMkBScnG7hwoU6c+aM0tPTNXz4cD355JNavny5Bg0aFMa9AgDAumxGRzepAQCAqFVVVaW+ffu2ecb6/bp06ZL69+/fCVUBABC9CO4AAAAAAJgYj4MDAAAAAMDECO4AAAAAAJgYwR0AAAAAABMjuAMAAAAAYGIEdwAAAAAATIzgDgAAAACAiRHcAQAAAAAwMYI7AAAAAAAmRnAHAAAAAMDECO4AAAAAAJjY/wLmqDCggTErBwAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# 中文显示\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']\n",
    "plt.rcParams['axes.unicode_minus'] = False\n",
    "\n",
    "plt.figure(figsize=(12,6))\n",
    "plt.plot(y_test, label='真实值', marker='o')\n",
    "plt.plot(y_pred, label='预测值', marker='x')\n",
    "plt.title(\"真实值 vs 预测值（测试集）\")\n",
    "plt.xlabel(\"时间步\")\n",
    "plt.ylabel(\"收盘价\")\n",
    "plt.legend()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "a82c363c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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vvvsuJ554IrfeeisA//nPf/jPf/7Dzp072bBhQ0h/nsLCQhRFoXfv3sExk8lUKdBQUlLC+PHjQ8acTiepqamHvGe73c7kyZMxm83BMq/c3Nzg9fWxqsTFxfH7778zd+5cRowYwcyZM/nuu+947bXX2LlzJ0ajkX79+mE0Gvnzzz9ZsWJFpe+jz+dj6dKlpKSkEB8fH5Kt43Q68fv9FBYWhhyj93NKSkqqdsPqsLAwcnNzq7VvxVXtMjMzQ34Wh3LKKadwyimnMGfOHMLDw7nnnnsA+O2333j99deZO3cuu3fvpqCgAKfTye7du/F4PNjtdlq3bs2MGTO45pprQs5Z8Xuxa9cu2rZti9Fo5J577sFkMlX584LD/8wq0jOO1q9fz5tvvklGRgbPPPMMSUlJ+P1+Nm/eXKnpeVVyc3MrNT8XQgghjicSIBJCCCGaqOzsbLKyspgxYwYffPABq1evrrSi2fjx43n00UfZvHkzY8eODckqAfXNdf/+/ZkyZUpI75cRI0YwYsQIgGAT4Ouuu67SHPRVvf7J7XZjsViIj48PuVZ1yofGjx/P+PHjWbduXXAsKysrpClzVf10Hn/8cTIyMujQoQOgZtvox1TsWVSVLl260KpVKxYsWEDfvn0xmUzccMMNwSCL0Whk2LBhzJ49mz/++IMLLrgg5PjS0tIjroAVFxdX5bgeNKmOrl27sn79ehRFqVbJmG7Tpk106tSpWvtmZmZy0003MWfOHKxWK4FAgJ9++gmPx8P555+PwWAINirv06cPbrebUaNG8dVXXzFmzBhWrVoFqFk+U6dOZe7cucFzV/wZvvfee3zwwQdce+21QOjPC478M/un7t27ExsbS25uLt26dQOgdevW/Pnnn0cMEAUCATZs2ECXLl1qdE0hhBCiOZESMyGEEKKJys3NJSoqirZt23LzzTdz5513VtrnyiuvpLi4mK+++oqJEydW2m632/n0008ZOnRoyCpbFR/XXXcdDzzwACkpKfTv379acyspKSEpKalGQYx/qlgatHTp0pA37x6PJ2Rfr9fL+++/T5cuXRgxYgQXXXQRf/75J61bt6ZTp0688MILAPj9/krH6iIjI/nuu+9o164de/bsqRQsuPzyy5kxYwYrV64MZlvpYmJiOHjwIG63O9gk+b777qNdu3Y88sgj9O3bl3feeYdu3boFM6mcTicHDhyospfRoQwYMACXyxXSu+dwtm3bRiAQYOXKlcEywMPZv38/Z5xxBjExMTz55JP06NGDAQMGcM8991BcXExeXl6wxGzkyJHBVcy++uorQC1z69OnD3369KFDhw5Yrdbg13369AkJUE6bNo3OnTvTt29frrvuuuDPKyEhgTfffBO73X7Yn1dF/8zO0vXr148///zziMfrTdf/mRkmhBBCHE8kQCSEEEI0Ud26dWPfvn3MmDGDiy++mNjY2Er77Nq1C7PZjM1mC2nsXFFYWBgPPvggBQUFvP322wwZMoSCggIKCgpIT0/nhx9+oKCggIkTJ1a7R8yOHTsOuwx7dbVp04Z9+/YF+yIBtG/fnu7du4fs9/XXX1NSUsKtt97K6aefzqmnnsqSJUvo378/v/76K9dffz2gZqUcLuCwaNEilixZwoABA7j66qtDml4PHjyYgoICTj755JDV1kAto0pOTsZqtVJcXMw111zDtGnTmDlzZrBs6rrrrqNNmzYMGzaMDRs2YLfbSUlJqXZ5GahZWLfffjv33XdfSBPqqsyePZvTTz+dhQsXkp2dHfz+Ha50Kz4+nsTERHr06MHAgQN57bXXmDNnDpGRkaxfv55+/fqRk5MT3P+jjz5i+PDh1e7zo1u2bBlr1qxh8uTJ9O3bl3HjxvHTTz8xbNgwZs2axY033khYWNgRf14Aa9asoVu3biEZZ6A2DD/ttNP48ccfCQQC5OTkVHnvDoeDBx54gDvuuCOkLE8IIYQ43shfQSGEEKIJO1TQB+Cnn35ixIgRDBw4kCuuuILTTz+dr7/+utJ+JpMJu91ObGws4eHhmM1mYmNjiY2NxWg0EhkZSWxsLDabrdrBjO+++44+ffrU8q5UJ554Irt27eLWW2+le/fupKWlMXLkSIYOHcrTTz8d3E9RFJ566imuvfZaEhMTAXj11VeJjIzkwIEDXHnllcyfPx9Qy/KqWiIe1CDTmDFjmDp1Kn/88QennHIKs2bNAmD16tWMGjWK7t2789dff1VaoQ3UMrgnnniC9u3bs3btWv766y9OOumk4Haj0cjs2bMZNGgQffr04bzzzmPGjBnV7imku/vuuwkEAtx4441VBjycTicAL730Ek8//TRvvfUWF1xwQbDcz+v1huyvZzwB2Gw2/vjjDz777DNuvPFGSktLefHFFykqKuLyyy+nU6dOJCQkBI89/fTT2bhxI48++mileZx22mmHXDb+iSeeYPTo0cHSr08++YSDBw8SFRUVDK6Bmjl23333VXkOv98PwKhRoxg1ahTJyclkZmaydOlSOnbsyMcff8xFF11EdnY28+fP5/vvv+ecc86pdI4JEyZgtVqZNGlSldcRQgghjhcSIBJCCCGaCb/fj9/vJysriwkTJjBy5Eguuugi5syZw7vvvsu///1vxo4dy6BBg3jnnXfYvHkzmzZtwuPxkJ+fz/bt2zl48CBOp5Pt27ezfft2fD4fe/fuZfv27RQWFuJ0Otm4cSM7duyodG3d77//zhdffMHVV19drXlv3bqV33//nYyMjJA+PcXFxVx22WUsWbKETz/9lFatWjFkyBD69esXDNyA2stm9erV3HbbbQAcOHCAF198kbvuuotbbrmFiy++mGuuuYaCgoIq5+tyubj66qsZO3Ys9957L1OnTsVsNjNr1iweffRR7r//fgYMGEDfvn1Zvnw506ZN49prr2X8+PFkZGQAahbKSSedxDvvvMMTTzzBsmXLgr2QfD5fMAvGZrPx9ttv89dffxEeHs6tt95KSUlJtb5POrvdznfffcfPP//MpZdeGnIvAEuWLAHgpptuwmKxMHv27GCzaVD7AD355JPBrz0eT3B+mzdv5sknn+Sss84iISGBu+66C5fLxQUXXECbNm348MMPMRqNeDweDAYDLVq04OWXX+app55i5cqV1Zr/woUL+eabb7j99tsBKCsr49FHH+Xaa6/lqquu4u677+aOO+4I+X/sn/cIarYXwA033MBVV11FixYtmDNnDsOHD+fRRx9l7NixpKWlcckll/Dggw8yf/58du3aFTze5/Nx8cUX8+eff/LNN99U6s8lhBBCHHcUIYQQQjQLTz/9tNKvXz/l/vvvV5KTk5Uvv/yy0j6LFy9Whg4dqnz00UdK7969lcjISCU2NlZJSEg44iM2NlaJiIhQLBaLcuaZZ4acd9SoUcqUKVOUv/76S0lKSlKuvPLKStcODw9XZs+eXWn8nXfeUWJiYpQLL7xQKS0tVRRFUb799lslMTFRGTx4sJKRkRGy/7fffquEh4cH7+/aa69VRowYoSiKorhcLmXgwIFK27ZtlbKyMkVRFCUnJ0eJj49XXnrpJcXv9ysTJ05UWrdurYwZMyZ4zvfff1+ZMWNGyHVWr16txMXFKXFxccq0adNCtn300UdKRESEMmrUKMXn8ymKoiibNm1SvF5vpft79NFHlc6dO1caVxQleL+1kZmZqbzwwguVxtevX6+cdtppitPpVN5//33lzjvvPOx5jEaj8ueffyqKot5XdHS0cssttyhr165VFEVRpkyZovTp00cpKipSNm/erFx77bVKenq6cuONNyqKoiiBQEA5+eSTlddff71a83700UeVDh06KIFAQAkEAsrYsWOV2NhYZe/evYqiqD/Djh07KrfffruiKIoydepUpWvXrkqvXr1CzrN69WrlgQceCH79ww8/KB6Pp9L1MjIylNjYWAVQ7r777pBtzz33nLJ///5qzVsIIYRo7gyKUsUyIEIIIYRo0srKykJWJatrZ511Fr179+a0007jpZde4ptvvql0fbPZzEcffXTIEq+KfD4f8+bNY/To0VX2hdm0aROdO3cObjtw4ACpqakUFRXxyCOPMG7cOPr16xfcf+3atfTs2RODwcAdd9xBaWkp99xzDx07djzsPL799luGDBkSUlal27NnDzabjZSUlCPeT1PhdDrx+/1ERkYGxxwOByUlJaSkpOD3+xk7dizdunXjjjvuCN67z+er1gp1Ov3n5Xa7efbZZ+nduzdjxowJbt+0aRMdOnTAYrHwzDPPsG7dOiZNmhTyM62J9evX8/XXX3PbbbcRHR1dq3MIIYQQzZ0EiIQQQgghhBBCCCGOc9KDSAghhBBCCCGEEOI4JwEiIYQQQgghhBBCiOOcBIiEEEIIIYQQQgghjnMSIBJCCCGEEEIIIYQ4zjV4gOjee+/lvPPOC369fv16+vfvT1xcHJMnT6ZiD+3FixfTtWtXEhMTefHFF0POM3PmTNq0aUNaWhqffvppvc1fCCGEEEIIIYQQoqlr0FXM1q5dy5AhQ1izZg3t27fH7XbTpUsXRo4cyeTJk7ntttu4+OKLueaaa8jJyaFDhw7cddddXHHFFVx++eU8//zzDB8+nPXr19O3b1/eeOMNBg4cyIUXXsicOXPo3LlzteYRCATYt28fUVFRGAyGOr5rIYQQQgghhBBCiPqhKAolJSWkpaVhNB4mT0hpIH6/Xxk4cKDy0EMPBcdmz56txMXFKWVlZYqiKMrq1auVIUOGKIqiKC+99JLSpUsXJRAIKIqiKF9//bUybtw4RVEU5fbbb1dGjhwZPM/LL7+sPPjgg9WeS2ZmpgLIQx7ykIc85CEPechDHvKQhzzkIQ95NMtHZmbmYWMjZhrIW2+9xbp165gwYQLffvstZ599NmvWrGHQoEGEh4cD0KtXLzZu3AjAmjVrGD58eDDDZ8CAAdx3333BbaNGjQqee8CAAfzf//3fIa/tdrtxu93BrxUtiSozM5Po6Ohje6NCCCGEEEIIIYQQDaS4uJj09HSioqIOu1+DBIhKS0t5+OGHad++PRkZGXz44Yc8/vjjDB06lHbt2gX3MxgMmEwmCgoKKC4uplu3bsFt0dHR7Nu3D1BvtuJxFbdV5amnnuLRRx+tNB4dHS0BIiGEEEIIIYQQQjQ7R2qp0yBNqr/66ivKyspYtGgRjz76KD/99BMlJSX873//w2azhexrt9txOByYzeaQbfo4cNhtVbn//vspKioKPjIzM4/xHQohhBBCCCGEEEI0HQ2SQZSVlcWgQYNITExUJ2E206tXLzZv3kxOTk7IviUlJVitVuLj40O26ePAYbdVxWazVQpECSGEEEIIIYQQQhyvGiRA1KpVK5xOZ8hYRkYGL7/8Mq+99lpwbNeuXbjdbuLj4+nfvz+ffPJJcNuqVato2bIlAP3792fJkiVcd911lbYJIYQQQgghhBCiXCAQwOPxNPQ0xDFisVgwmUxHfZ4GWeY+Ly+P9u3b88wzz3Duuefy1Vdfce+997J161b69u3LM888wzXXXMMNN9zAgQMH+O6778jNzSU9PZ3vvvuOU089lTFjxtChQwdee+011qxZw5AhQ1iyZAnt2rVj6NChjB8/nrvuuqta8ykuLiYmJoaioiLpQSSEEEIIIYQQotnyeDzs2rWLQCDQ0FMRx1BsbCypqalV9hmqbsyjQTKIEhISmDt3LnfffTd33nknLVq04IsvviA9PZ3p06dzxRVXMHnyZIxGI7/88gsAiYmJvPTSS4wePZrIyEhiY2OZMWMGAL179+b222+nX79+2O12OnbsyM0339wQtyaEEEIIIYQQQjRKiqKwf/9+TCYT6enpGI0N0pZYHEOKouBwOMjOzgagRYsWtT5Xg2QQHcmBAwdYsWIFgwYNIiEhIWTbrl272Lx5M0OHDiUyMjJk28aNG9m7dy+nnnrqYXsQ/ZNkEAkhhBBCCCGEaO68Xi/bt28nLS2NmJiYhp6OOIby8vLIzs6mU6dOlcrNGnUG0ZGkpqZyzjnnVLmtXbt2IUvaV9StWze6detWl1MTQgghhBBCCCGaJL/fD1CjhArRNISHhwNqELC2/Ygkn0wIIYQQQgghhDiOVNWnRjRtx+JnKgEiIYQQQgghhBBCiOOcBIiEEEIIIYQQQgjR5Ljd7hqtxrZ3717GjRtHWVlZra6Xn58fLNOrjr///pv9+/dXa98DBw4wadIkSktLg2NffPEFv//+e43nWVsSIBJCCCGEEEIIIUSj5vV6KwWDrrrqKp5++umQMZ/Pd8ggTnJyMgsWLOCzzz6r1jUff/xx7rjjjuDXd9xxB5dcckm153zhhRfy22+/VWvfOXPmsHjx4uBiXD6fj/vuu48XXnih2tc7Wo2ySbUQQgghhBBCCCGE7v777+e3337DYrEEx5YvX86WLVuYO3ducMzj8TBlyhTGjBnDhAkT+PHHH0POU1xczKRJk3jsscdCxt98801GjRrF7t27WbFiBRdddBF2ux2bzQZAaWkp33//PYsXLw4eoygKHo8nuA+oWUqtWrUiOjoag8HAhAkTmDBhAqAGfU455RTmzZtX6f6mTZvGpEmTgl9Pnz6dli1bkp+fz8yZM7n44otr8V2rGQkQCSGEEEIIIYQQolF7/vnnAfj8889RFAWAW265hX/961+0bNkSALvdzgUXXBA8prCwkOuvv54pU6aEnGvXrl0kJSUFs3VatWqF1+sFYMOGDTz//PNcdNFFIcfMmDEDh8PBqaeeCqgBI5PJhMfjoaSkBLvdDpSvJpaRkUFJSQlTpkzhkUceoV27dsyZM4dp06ZVurfFixezdOlSFixYAMCOHTt44okn+PXXXzGZTAwdOhSz2Rxyb3VBSsyEEEIIIYQQQgjRJFx99dVs3ryZ3NxcHn30UWw2G7m5uSxfvpxbb701ZN/BgwfTs2dPFixYwOjRo9m7dy8AL730EuPHjw/ud8stt9CuXTsAbDZbSEYQgMvl4tlnn+X3338nNzeX3Nxc2rVrx9KlS/F6vdjtdjweD06nMxi8AmjRogW9e/cOKWkzGAwEAgFcLhcAgUCAu+66CwCLxcL27dsZOXIkTz/9NO3ataN169Z8/fXXTJgwgdtuu428vLxj+N0MJRlEQgghhBBCCCHEcUhRFJze6jddPpbCLKZaLc1ut9v55JNPsFqtIeNOp7NSYOeOO+7A7/fjdruZN28ePXv25MMPPwSgbdu2wf3uv//+w17z2WefJTU1lbPPPpsDBw5gMBjIysqidevWwX3eeOMNHnnkEQwGAwaDgQ4dOoSc44UXXsDj8eDxeEhISODkk0/m+++/55FHHgEgOjqaTZs2MXLkSB5//HHS09ND7u3DDz9kypQpfPTRR9x+++3V/n7VhASIhBBCCCGEEEKI45DT66fb1PkNcu2N/zeScGvtQhJXXnkliYmJIWO7d+/m66+/Dhlzu90MGjSIO++8k+eff54hQ4aQnp6O0+mkU6dO1b5eZmYmn332GaeeeiqrV68mNjaWxMREoqKigvvccccd3HHHHcyZM4cpU6awevVq3njjDVq1asWYMWMwGAx89tlnzJs3jxkzZgSPy8rK4q233uKMM86ga9eu/PTTT9hsNs4880wyMzMBNbh09tln89dff2EymWr+DasmCRAJIYQQQgghhBCiyXC73cESLZ3H46m0n81m49577+Wmm25i+fLlvPLKK4C6pPwZZ5xR7evpfYMuuOACvv76a1q1ahXsRVRRfn4+999/P9dffz0A/fr1Y/LkyeTk5JCYmMjnn38e7Jek+9///hfyde/evVm7di1paWnBMYvFgsViqdPgEEiASAghhBBCCCGEOC6FWUxs/L+RDXbt2po1a1aVJWYVS9b8fj9er5fLLruME088kVWrVgW37d27N6SEy+v14vP5CAsLY+nSpWzevJkRI0awceNG/v3vfwf3u+qqq7jwwgtJTU3l8ccfrzSv7du3M2DAACZOnAjAwIED+eWXXwgEAnzzzTekp6dXqzysuLiY5OTkan8/jhUJEAnRzKzfW8SKjAKuilyGcfMc6HQ29LmioaclhBBCCCGEaGQMBkOty7zqUyAQwO/3B5e4nzt3bqUeP3/99Vew8bTH42HJkiWcffbZ2O32YObNxIkT8Xq9lJaWMmbMmOCxbrebE088kV9//ZWOHTty8803c+GFFzJv3jxyc3OD+w0YMICIiAhKSkoYObJyYM3pdPL++++zcOFCnE4nZWVlJCYmUlhYiMlkIioqiv/973888MADPPDAA4e8361bt4b0N6ovjf//BCFEjTz49XrWZBYy8qQlpG78GiKSJEAkhBBCCCGEaLIWLFjA2LFjMZlMGI1G+vXrd8h9o6Oj8Xq9LF++HKfTGbItEAhw+eWXk5aWxrhx4+jTp08w6KS75JJLgv+eN29eyLbHH3+c/fv3Y7VamTlzZsi+oC5x36pVK3bv3s28efP46KOP+Oijj3jkkUdITExk4sSJjB8/nrCwsEPOX1EUpk+fzp133nnE78uxJgEiIZqZ/YXqk2DqxnfVgX2rDrO3EEIIIYQQQjRuZ511FmVlZQCUlZXx4osvEhEREQyivPPOO2zcuJHLLruMwYMHV3mONWvWcOedd2IymXj77bcZMWIEZWVlPPnkk1x88cVVHqMvWb99+3buv/9+/vjjDxYsWIDP5+P8889n5syZ3HLLLZxyyikYjcZqr8pW1X4ul4tAIMDkyZMpKyvjggsuCG4LBALBudQlY51fQQhRbxRFodDhJRzXkXcWQgghhBBCiCZi8+bN3HfffXTq1Ilt27YxatSo4LaxY8fSunVrLrroIvr27cuSJUtQFIWffvqJJ554gn79+nHaaacxYsQI5s6dS1xcHCtXruThhx/mtttuY9CgQaxYsaLSNd1uN9nZ2YwdOxa/38+aNWsYMGAAJ598MmvWrCEyMjLYwLpz586MHj2a/Px82rZty3XXXce8efNo27Yt//3vf3n88cdp27ZtcGn7yMhIioqKgtfyeDxs27aNBQsWMHPmTMxmc8g83G53HX53VZJBJEQz4vD48fgDtDAUlg/6JFgkhBBCCCGEaNpcLhcpKSmsXr2apKSkkG1JSUnceeed3HjjjUyfPp0ePXpgMBjIyMhg5cqVTJo0iQsuuIDIyMjgMQaDgXHjxnHuuecyderUKlcImzJlCqD2FvpnWVhaWhrvvvtu8OstW7Yc1f0FAgEAVq1aVSnD6Jtvvjmqc1eXQamPPKVGrri4mJiYGIqKioiOjm7o6QhRa1kFDk55ZhH9DJuZafs/dTCqBdy1+bDHef0BXF4/Ufv+gM1z4cxHwXLoulghhBBCCCFE0+Nyudi1axft2rXDbrc39HTEMXS4n211Yx6SQSREM1Lo8AKQXDGDyJEHigKHqYcdN/1vNu0vZh2XqgPRaXDKpLqbqBBCCCGEEEKIRkV6EAnRjBQ4PAAkGcprWQn4wFN6yGMURWHVngJKXL7ywZL9dTVFIYQQQgghhBCNkASIhGhGCrQMoiQ9g6jnJfBQHtiiDnlMmceP169Wmha3PFUdTOlRl9MUQgghhBBCCNHISIBIiGakUMsg2hVowRLzAGh/GhgP/2teUOYJ/ttvtKj/UPx1NUUhhBBCCCGEEI2Q9CASohkpKFMziGYFhvG78Uz+PvGMIx6TXzFAZLCq//B5DrG3EEIIIYQQQojmSDKIhGhG9B5EoDWs/vsd+OJq2L7wkMfka8e0Newncc9cddDvrtN5CiGEEEIIIUR9UxQFj6dmH4YrioLD4QguQ6/z+Xy43eXvm8rKyqp1vvXr17N3794azaG+SIBIiGZELzELx4Xb58efuRQ2fg3ZG494TAtDfvlg+9PqcJZCCCGEEEIIUTMvv/wyl16qrrrs9aqVE6NHj2bBggVs2bKFPn36AAQDQBMnTiQtLQ2TyUTbtm1JSEggKiqK8847D5/PR2FhIQBXXXUVb731FgB//PEHLVu2pHv37vTp04dWrVoxbdo0evfuTZ8+fUhISCAtLY0+ffrQu3dvHnroIQD27NlD27Zt+fLLL8nMzOTxxx8PeaxevTp4Hw899BA//PBDPXzHak4CREI0IwUOL0YCrLVdz0bbtXi0J04ceYc8Jl8rS4unRB1oMwRSe9b1VIUQQgghhBCi2mw2G2FhYQDcfPPN9O3blyVLljBx4kQuvvhitmzZQr9+/TjrrLMAeP3119m0aRPJycns3r2bJ554gosvvpj58+ezYsUKhg8fDkBYWBg2mw2AIUOGsHfvXjZs2MDkyZNJTEzkyiuvZNu2baxdu5azzz47GPDZsGEDzz77LACtW7fm/fff5+GHH2bLli188sknpKamkpqayg8//MDGjRuZOXMmK1euxGazYTY3zm4/jXNWQohaKXR4iKMEsyGAUfGQH9mWMDhsgEhvUh1n0AJEYXF1P1EhhBBCCCGEqAaHw8GyZcvYuXMn2dnZLFiwgFdeeYXw8HDeeustzjzzTCIjI3n22Wd54YUXQo71er1YLJZK57TZbMGgkNFoxGAwBLetXbuW7777jvfee49vv/2WyMjI4LaDBw/SoUOHKuc5evRoRo4cybp160hLS2PQoEEUFBTQsWNHjEYj3377LWeeeeax+JbUGQkQCdGMFDi8JBmKAMgnihJzAokAZYfJINJKzIIZRAc3QM5WSOpUx7MVQgghhBBHw+cPsPVgKV3sBRh/uBtOvhXaDWvoaYmmyHOY/jkGE1js1dzXCJawI+9rjaj21EpLS/n0009ZtWoVJSUlfPnll3Tv3p3o6Gj69OnD9OnTg/umpKTw2muv0bVrVz755BM8Hg/FxcU88sgjLF++nKysLB544AFOP/30Q14vKSmJTz75hE6dOtGtWzcAnn32Wd555x2Ki4uZMGECZrOZ4uJi/vzzT1q1asXs2bMpKytj/PjxwfMsXbqUb775hrg49QP4fwaiGiMJEAnRjBQ4PLQ1FACQo8TiNsaoGw6TQaT3IApmEBXsgqXvwDnP1+lchRBCCCHE0Xn71508N38LCzrOokPmj2CLkgCRqJ0n0w69reNZMO7L8q+f6wBeR9X7tjkFrvm+/OuXe1b9XuSRompPLTk5mbfeeouzzjqLrl278vbbbwMQHR3N8uXLQ/adNGkSFosFj8dDQUEB+/btIzIyksLCQpxOZ3Dc6/WiKEqla3k8HpKSkliwYAEffPBByPj48eO588472b17N7169aJVq1bB7KTU1FTGjh3Lnj17GD16NAAWi4WYmJhq32djID2IhGgmfP4AJS4fSahPtjlKDAVKlLrxsD2I/hEgAlnFTAghhBCiCVi2W11kxF+aqw607NuAsxGi7uzZs4eFCxeybds2Xn/9dUDNLOrXr1/I49NPP8VgMNC3b1/efPNN7HY7119/PS+//DIXX3wx/fr148033yQqKiq4AllRUREmkwmAadOm0aNHD/r168dzzz1Hu3bt6N+/f7Bn0MqVK0OyhPTjBg8ezIIFC+jcuXNwm9/vD/ZMaiokg0iIZqLQqTabTjIWApBDLIGAVi/rKjzkcQVak2ob3vJBX82WfhRCCCGEEPVvR04pAIll29WBlO4NOBvRpD2w79DbDKbQrydvP8y+/8hBmbSu9nOq4LHHHqNly5a0atWKd955h169emGxWLjxxhtD9vv888+DK5RddtlllJSU8P777wNqFtCmTZvIyclhyJAhrF69mr59+7Jp0ybuu+8+AG655RZuueUW3nrrLTZv3ky3bt1Yt678HsrKymjfvn2Vc+zRowc2m43i4mIAsrOzSUpKIisrC7/ff0y+D3VNMoiEaCb0UrGWZjUTKEeJZbchDe7dDXdtPeRxeg+im7x38Gv7O9RBvwSIhBBCCCEaM5fXT1aBkwicJHj2qoMmW8NOSjRd1ohDPyr2HzrivmHV27cGvv/+e+bOncvEiRMJCwvj66+/pm/fvnz//fd06NCBRYsWsXr1ajp06MCDDz7IsGHDiI2N5YEHHuCnn34KZvFcd911xMTE8MUXXwTPPXv2bLKysujdu3eV1x41ahT33HNPsBwtJyeHtLTycrxAIBD8d25uLr1792bjxo0AbNy4Mbivy+UiEAg0+kCRZBAJ0UwUONQMoAPWtuyIHMaGA22IcimHXZVMUZRgYAnAhfaiQgJEQgghhBCN2q7cMhQFOhsyywe/nQi3rmi4SQlRB4YNG8asWbNYvXo1AO3bt+fqq69m3bp1GI1G9uzZQ3h4OH/99RcAPp+P+fPnc+qppxIfH4/T6QyuWOZwOPjzzz958MEHATVwM2LECObOnVvltdPT0wGC5WhLly6la9euwe0ulyv477fffpvhw4dz2WWXMWrUKHr06MFVV13F+eefT0pKCgsXLsTjadzvsyRAJEQzoS9X/0fMOST2uYHvvtvIOU7vYY8pdfvw+subs3kU7SnBJz2IhBBCCCEaM728rKtxT/ng4VaXEqKJioqKYtCgQcEAEai9gsxmM5s2beLMM8/k1FNPRVEU3nvvPdxuN3a7mvWUn58fcq7x48dzyimnVCpNO5Krr76agoICzjjjDH744Qd+/PFHfv/992CGUEFBAa+88grff/89VquV7777jvj4eH7//XemTp3KokWL+OSTTwBYuHDhUXw36paUmAnRTBToq5GFW4gNV7vpFzm88MvT8MW/4MD6yscE+w95+NDyJOfuelzdIE2qhRBCCCEatd0H1De+XQwSIBLHH6PRyMcff8w555zDe++9x7Rp09i3bx8XXHABeXl5GAyGkPKvI/H7/cEysoKCAg4ePBhsTA1qkOr222/n2muvJSYmhkmTJvHuu+9iNKohlUmTJtGzZ0/69+/P/v37mTJlCo899hhTpkzBZDIFM5YcDkdwfo2RBIiEaCYKHF5seGhrKSLWrgaICp0e2PEzbPwG8ndWOkbvPxRPCUNNWgDpjEeh37X1Nm8hhBBCCFFDC/+PCUtG0N+wmd8DPVlq6a+Oe8qgiqW7hWgOvF4vbrebrKws0tPT+frrr1mwYAEjR47EarUyd+5cOnXqRM+ePfnvf/+LzWYjOjqa2NjY4OPbb7/l3nvvDRmLiorCZrOxY8cOAC688EI+++wzLr74YgA++OAD+vTpw1lnncVzzz1Hly5dWLZsGStWrGDixIkAXH/99UydOhWAp556imHDhnHRRRdhMpl4++23iY2NBWD48OGsXbuW/v371/83sBoMiiLPIMXFxcTExFBUVER0dHRDT0eIWnnqh02s++1bPrE+SVlib7pn3UuruDB+bz0NtsyFc1+GfteEHLNoSzbXvLeM7obdfG97gCJzAjFTKgeShBBCCCFEI/JITPCfbV0f0yPByJyyK9SBBw9WbioshMblcrFr1y7atWsXLMNqikpLS4mMjKxyW1lZGRERNWuEfTj5+flkZ2fTpUuXkHGv10teXh6pqakh44qi4PV6sVqtlc5VUFBATExMMPPoWDrcz7a6MQ/JIBKimSgs89LdsBsAJaYloJWYhcerOzhyKx2j9y2KM6grn5WZYirtI4QQQgghGhel12XBf59hXEm+p0JrWSkzE8eBQwWHgGMaHAKIj4+vFBwCsFgslYJDAAaDocrgEEBcXFydBIeOlcY7MyFEjRQ4PHQ37gbA2EJdprHE7SNg1wNE+ZWOyS8rLzED8GCBrBWwb1XdT1gIIYQQQtTIY3M2cvbLv7Ky79O84RsDwHTrC3i9bjBry4t7ShtwhkKIpkxWMROimSh0eOluyADA1qoP4AfAZYogHKp8saA3tk4yqduifAUwfQTEtoZJ6+ph1kIIIYQQorpmr9pLfpmH2z5dTYnvXG4xfwvAW4H/g0E3AgawHtvsCdE8SaeZ5udY/Ewlg0iIZsJRVkJ7wz4ATC37EGVT478OtPrTKtKNCxzqKmatbE4A8k2J6gafp45nK4QQQgghaiIQUCh0eACF/YVlFBPJ/2Im4lcMvOk7D89pU+GMhyEisaGnKhoxk8kEgMcjr/ebG4fDAailb7UlGURCNBMJju2YDAq+sETMkSlEh1kocfsow04iVB0g0krMEq0+Al4D+UatHM0vfzCEEEIIIRqTEpePgAKp5POX/VZylWimdZpP598G4MOM0+PHapbP/8Xhmc1mwsPDycnJwWKxNOp+OKJ6FEXB4XCQnZ1NbGxsMAhYGxIgEqIZyMgro5VrG1ggkNITDAZiwy3sLXSyO3U0be67ssp0Y70H0fxWE7l97VjOTShloOt3CRAJIYQQQjQyhU6tNYDZGRzrmR6LwWQBv4KjKJsYp0vNILLLwiOiagaDgRYtWrBr1y4yMjIaejriGIqNja2yaXZNSIBIiGbg/T8z2Bhow7yoizi712kAxIarqYX5XiPYq17KUO9BlBptJ4CR4oDW3NDnrvM5CyGEEEKI6tNbA6SHucELlsh4RvVowQNfrcPr9xHz/QTI+h0unAa9Lm3g2YrGzGq10rFjRykza0YsFstRZQ7pJEAkRBNX6vbx5fJMSpSO2M+9EjonAxATpgaICrUXE1XRX2ikRKt9ihx+7Ukl4IVAACTlVAghhBCiUdA/2GthdYEXYuKSwGggwmam2OXDawpXd5Rl7kU1GI1G7HZ7Q09DNDLy7k+IJm7WiixK3D7aJ0UwrGNScDzargaIlKIs+GYifH9XyHGKogR7EI3a8gCvWV4l0ldQvkPg0IElIYQQQghRvwq1AFGyVSsxs8cCEGZVP+DzGg+9MIkQQlSHBIiEaMICAYX3/9yNkQB39HBhLNytZv4A0VoGkcdRAqs+hHUzQ44tcfvwBdSlENP2L+Q801+U+Y1w6r0wYgpgqM9bEUIIIYQQh1FQpn54l2TSAkRhsQCEawEit1FrFSABIiFELUmJmRBN2P5iFztzy0g0OTlvyXhYAjyUCxiJtqu/3vleq7rzP14s5JWqn0LFW/0YA+q/DwaiYPgD9TV9IYQQQghRTXoGUZxRe00XFgdAuFV9zec2aAEibw0CRK7iQ/aqFEIcfySDSIgmrNipfpLUwq6Vg5ntYFIzh6K0ErNcj/pfAl7wlTeiyy1VG1G3CVeP9SsGivy2+pi2EEIIIYSoIb13pDuqNbQfDsldgfIMIqeheiVmLq+fTfuLUVZ9DE+nw6qP627SQogmRTKIhGjCytw+ABKtHnACtqjgtugw9dc7z1Ph19xTCuZ4dVwLELUOd4MLiojA7Qdyt4HXAYmdwSKN64QQQgghGoNC7YPBrLYXwdDJwfFggIjqBYge/34jH/21h932m9WBb26GE8cd+wkLIZocySASogkr0QJECWYtM8gaGdwWZVMzhwrcCpgql5nlaiVmLW0uAIqUCLz+ALx7Jrw9DAoz6nr6QgghhBCimoIlZuHWkPEwi/ph4L7wztD/BjW76DCW7sqvmwkKIZo8ySASogkrdakBong9QBSSQaQGiEpcPrBGgNOjZgZp9BKzVKv63yIi8PoVFJNVbU/tc9f9DQghhBBCiGopCAaITCHjETb16+0RfeGsKw97Do8vwM6cMgwEygctEcd2okKIJksyiIRowvQSs3izmgWErbzJoF5iVuz0lmcWeUqD2/Um1QlWDwoGihXtxYGebeQv71ckhBCiHuTvDOkVJ4QQFemrmJ08bzQ81RqyVgDly9w7PP4jnmNnbim+gIKCkcdavaMOav0rhRBCMoiEaMJKtQBRjEnL9rFVKDHTmlQXu7wokxZgMNtDMozyytRjctqOwX3xTfzn4e8AyjOIJEAkhBD1Z/tC+OhCOGEEXDW7oWcjhGiE9BIzi7sQ3EVgUVctC9dKzJxuN5TmqAuTRKdVeY4tB0qC/97gSoBRz0JUKigKGAx1ewNCiEZPAkRCNGElWolZYWQHGHI7JHQMbtOXuff6Fdz2JOyW0HTk3BL1RUZilA2rxRJsbBgwWtXUQikxE0KI+vP32+p/d/zcsPMQQjRKHl+AMo8fUDC6i9TBsFigvEl1ctE6eP40iG8Pt62q8jwVA0R7Sgww8D91OGshRFMjASIhmjC9xKwwoTeceXnItgirGaMBAopaZlYpQKRlECVE2DAaDZiNBjXl2CglZkIIUe+iUhp6BkKIRkzPHoo2ODEoWilZWBwA4VoPoiK/TR0/zCpmWw+qAaK7zF/Q2pFDICMSY5uBdTRrIURTIz2IhGjC9BKzKFvlWK/RaCBSG1dWfQTf3ga7fg1uzy1RA0Qdt0+HL6/hVPN6AAJ6DyLJIBJCiPpz0r/V/8akN+g0hBCNk77EfSu79gGeyVZeYqZlEBX6K69a+09btADR6cZVnG/6A+f2xbDha8jdXjcTF0I0KRIgEqIJ05e5T1LyoGB3pRcE+kpmloxfYeX7cEANAnl8AYq18rSYg0thw1e0MqpLnhZ1HAun3AkJHerpLoQQ4viVme/gzs9Xs6NYG3CXHHZ/IcTxqaBMDQy1tGsf4GnlZVC+zH2hV/vA0FOm9hT6h1K3j8x8J0YCnGDYB4Bx83fw5dUs/O5DNu0vrnSMEOL4IgEiIZowvcRs8I6X4ZXesPKDkO16o2qXQe0vpAeQ8rUXGSajAbNHfTHgMKkNrHO7XAVnPAwp3ep6+kIIcdybuSKLr1btZea6QnXAU1rlGzshxPGtwKFmELWwOdUBrbwMyjOI8n1aBhEKeJ2VzrFNyx7qE1mIzeDFqVjJjTsRgO07tvHk3E11NHshRFMhASIhmrBSLQvIHnCoAxVWKYPyRtV6A2p9mfvcUr3/kBWDswAoDxB5/IE6nbMQQohyBVpfkeFZb6oDrQdLgEgIUUlwBbOwaHW1w/QBwW0RWg+iAk+FlgNVlJnp/YeGxuYCsENJI8+UBECKoYCNWfkoPz4Em7+vk3sQQjR+0qRaiCZM70Fk82sBImtkyHa9xMxBaAZRMEAUaQNXIQAuUzQASlkO5OZCeLz6EEIIUWcKtayACI/6ho2T/gVG+fxOCBFKzyAqiOsJl14Vsk0vMSvzKmCJAG+Z+iApZL/N2gpmvW0HANimtCQsEAtAqqGALu41GP58Ff58FR7KA5O8VRTieCOvQIRowvRl7i1+NTPonxlEUVoGUakSuqpFbqm2xH2EBZyFALjN6rEt/34cXu8Lqz+uy6kLIYQAirTGs7bg83h0A85GCNFY6RlEceHWStv0EjOnxwd9roR+14E5rNJ+egZRe7IA2BZoxR5fLADJFPBXoBtei/YclLXsWN+CEKIJkACREE1YmUcLEPm0NOJKJWZqBlFJQA8QqW9A8rQMorSIAATUNydO7QWBz6AeI6uYCSFE3QsGiPRS4QPrwFXUgDMSQjRGejlqXFjlrB49QOTw+lFGPwfnvghRKSH7eP0B1mSqzy1xFj8Bg4ltSkuW56mvEVMMBfgxsiP2ZPWArfPq6laEEI2YBIiEaKIURQn2IDJ6q84g0kvMigOhy57maU2q02zaUqlGC4pJ/aQpGCDye+pq6kIIITTFWoAoPKAF+hc9Dgc3NOCMhBCNkV5idtbuZ+Gp1rDkv8Ft4TY1aKQo4PJW3UtyTWYhpW4fceEWov71KT9fuIbFgd78dlA9NsLgJgonvxv6qgds+7EO70YI0VhJYakQTZTbF8AXUBuZGrXMoEo9iLQSs6W2IVw8aT3Y1Syh3BI1O8iWkA5T88FdguUDdeUKL5JBJIQQ9UXPIApXHGDQBt2lDTchIUSjVKQFiCIDJeAuAqMpuC3MUv5vh6OUMK8PLGFgDQ+O/7ZN7XN2codEjEYDyXFReLCAAg96r6WzNY9FtjtZmdcHDEbI3giFeyC2df3coBCiUZAMIiGaKL1BtYEADLgR+l0bsuQplJeY5XgsEJsO9hgAcrUMooQIq/oCIywWq1l9OvAZtLix31sftyGEEMctRVEocnox4yPMUCFr01PScJMSQjRKeolZuF97frDHBreZjAZs2uu4iFnj4bn2sOnbkON/364GiIZ2SAQgJdoe3Pax/wxS0tJJNBSDpwxfS22FtK3z6+JWhBCNmASIhGii9PKycKsFw8jH4NyXwBaaQaQ3qS7W9tXpGUSJUbbgmP7CIphB5JcMIiGEqEsOjx9fQMGOh62BluUbJINICPEPeomZzVesDoTFhmyP0MrMvGYta8hT/jxS7PKyOrMQgJGOb2Ha6SRu+QSjofz43soWAFYEOrEv+VR1MHPpsb0JIUSjJwEiIZooPYMo0n7oSlG9B5HJkQ3zH4QfHwIgr0wN/rQt+Au+/DcsnYbFpAWIpEm1EELUC728rJRwzvI8h6PzWHWDWzKIhBDlFEUJrmJm8RSqgxUyiKC8zMxr1ANEjuC2v3fm4w8otE0IJ65gPexdjsmRR2Kk+kFhO8N+Uvf9BMDyQCf+jDwD/vMbXPhO3d2UEKJRkgCREE2UHiCKt/qhIAOcBZX20UvM/K4yWPI6LP8fiqKQpy1zH1+2HTbMhsylwRKzAxHdYMB/oP1p9XMjQghxnNIDRDq3sfIn/0IIkVfmwRdQsBh8mEr2qYOx6SH76CuZeYxa6Zi2MAnA79tyADilYyJkqz0nSe4SLDO72zIzuO96pR0r8mzQohcYKqQYCSGOCxIgEqKJ0kvM+ph2wSu9YNrplfbRS8xy3FrzQk8ZRQ5PsLl1REB7ExIWG8wg2hU7AEY/Cz0vruM7EEKI49shA0SSQSSEqGBXrhrs6RddjEHxgyUcolqE7KMHiFxGdVXaioHm37T+Q6eckAC5W9XBpC6kRKsZRF57YnBfN1Y27Cs+JvPOLXWz5YA8nwnRlMgqZkI0UXoGUZxZa2z6j/5DUF5iluuxgB1AIa9Q/aMfZTdj9hSpO9pjsbq1EjOfUqfzFkIIoSrUeoqcYlzHVPMHxOw2woiHIH1AA89MCNGY7MxRgz2t4+wQPUpdYOQf2T3hVvVtncugZRB51RKzIoeXnTlqgOnkhDJ13GSFuHYkRanZRMvSr+ECm4n9HS6DLxR25JQS+PsdjHuXQ7/roPXAWs37X+8uZevBEhbdfRrp8eHg94FJ3n4K0ZhJBpEQTVSJHiAyudQBW3SlffQMIifW4FhRkVqKlhBhLS9LC4vDqmUQ+b0OKN4Ppdl1NXUhhBBAsZZBlEQhnYx7KYlIh2F3Q7thDTwzIURjslPLIApL6wZXfgaXf1xpHz2DyImeQaQes+WgmsHTMjaM6NKd6raEjmAyc2qnJMKtJob06QaXvk9S77Oxmoy4fQHcmxfA2s/h4PpazdkfUNhysARfQCF38dvwck9Y9HitziWEqD8SIBKiiSrTAkQxJq2ZtC2q0j4Wk5EwiwkFIwGLWrpQVqJmDcWGW8FZqO5YYZn79rm/wItdYOa1dTp/IYQ43uklZlEG9ZN+pzGiIacjhGik9AygdomHfo4I0wJE2WHtoeelkK5m/Ww+oGaOd06NKu8/lNQZgLN7pLL+kZGM7qmWq5lNRtomqq8X800J6r4l+2s15+wSF36tpUFmoRsK98Cev2t1LiFE/ZEAkRBNlN6DKMagZRBZK5eYAUSHqVlEfrP6osJRpgaIYsIs4CpUd7LHBjOI3AEt9dfvqYNZCyGE0OkBokicAHgDwP61cKB2n9gLIZonvQdRx5gAKFW3AtAziLZFDYCLpkH/6wDYrPUA6pIaBSYLxLaB5G7B44zG0FK1E5LU15P7A3HqQHHtAkT7CtXXp2G4cOZlaYMrwSevL4VozBosQHTbbbdhMBiCjw4dOgCwfv16+vfvT1xcHJMnT0ap8CS4ePFiunbtSmJiIi+++GLI+WbOnEmbNm1IS0vj008/rdd7EaIhBJe5N+olZpUziACitJXMfGY15dhdpn6SFBtuCckg0ptUuxStobUscy+EEHVKDxBFG9QAUVzJNnh7KHxzc0NOSwjRiPj8ATLy1ADRgB/OgafbwIF1lfbTexA5PP6Q8c37K2QQDb4FJq1VS1kPoUOyGiDa7dFaF+irptXQ/iL1ea2t4SCXlX6o3YwLDqyt1fmEEPWjwQJEy5cv5/vvv6egoICCggJWrVqF2+3mvPPOo2/fvixfvpyNGzcyY8YMAHJychgzZgxXXHEFS5Ys4eOPP2bRokWAGlQaN24cDz30EPPnz2fq1Kls2bKloW5NiHoRDBBpnzwfKkAUrfUhWjZkOty+lh3mjgDEhllg4jK4Zxe07BcsMXMpegaRt8rzCSGEODb0AFGsUX0eLzRrKwm5ZZl7IYRqb6ETr18hxuzFXLoP3EUQlVZpPz2DyOHxq82gi7IIBBS2HlSfT7q2qNCr8jDL1+sZRJsdWmZ6yYFazXu/lkHUwpAXumHPX7U6nxCifjRIgMjn87FhwwaGDRtGbGwssbGxREVF8cMPP1BUVMSLL77ICSecwJNPPsm7774LwMcff0xaWhoPPfQQHTt2ZOrUqcFt06dPZ/jw4Vx//fX07NmTiRMn8uGHHzbErQlRb/QSs8KEPtD339Cqf5X76SuZHTCnQVwb8rTEoJhwq7oKRng8mK3lAaJgiZlkEAkhRF3SA0TJVrXkIs+oBYg8EiASQqj0/kOD47Sl5+2x6mu3f9ADRMayg/BECrzSm735JZS6fVhMBtqFu9TA0RHoGURrCtVeRBTXLoNon5ZBlPbPAFGmBIiEaMwaJEC0bt06AoEAffr0ISwsjLPPPps9e/awZs0aBg0aRHi4+oTUq1cvNm7cCMCaNWsYPnw4Bi3iPWDAAFasWBHcNmLEiOD5K26ritvtpri4OOQhRFOjZxDltx0N570CXc+tcj+9xKxEDyhpyyrHaIEjndWk/m4FM4ikRlwIIeqUHiDCHs1+JZ79xhT1a3dJw01KCNGo6CuYnRShBVoSTqgyA0h/vbe9LAwMJgj42L1TrajokByFZf698Fx7WDfzsNdrn6T2rNyiZxC5isDrrPG89QyidFM+AAfC1Ax29vx9yD5KQoiG1yABoo0bN9K5c2c+/PBD1q5di9lsZsKECRQXF9OuXbvgfgaDAZPJREFBQaVt0dHR7NunRrQPt60qTz31FDExMcFHenp6HdylEHUrWGJmsxx2P73ELCXzB/jxIVIL1OBpqqEAvvgXzH8QoDyDyK89LUgGkRBC1Cl9mfufO9zHYPfrzLGOUjd4HRDwH+ZIIcTxImHzRwwzrqGzNVsb6FDlfiefoK46tmRXAf7Y1gDk7tkKQLeUMNi+QA32xLQ67PXCrWZaxoZRTDjrLvkNpmSDJazG89Z7EPWOVjMifzUNgrQTodsYtReREKJRapAA0bhx41i+fDmDBw+mY8eO/Pe//+Wnn34iEAhgs9lC9rXb7TgcDsxmc8g2fRw47Laq3H///RQVFQUfmZmZx/gOhah7eoAoNlAAzoJDvpnQS8xa5fwKf75KyzI1Ky9ZyYWN38DGbwGCTarziIETx0PPS+r6FoQQ4rimZxC1jFUzp3O91vKNUmYmhDiwjguynucD6zN0dq5Rxw4RIOqYEkWH5Ei8foUcs7psvSN7BwDDwnapwaGwuEO2JKhIzSIysNERC2brkXav0r4iNQh0glVdPXdZSTyB6xfBOS/UKuAkhKgfjWKZ++TkZAKBAKmpqeTk5IRsKykpwWq1Eh8fH7JNHwcOu60qNpuN6OjokIcQTY3eg6jHz/+GZ9rCrsVV7pcQof4uFAe0IKpHTVWOQ/2Drdex6xlEB4mH89+AkU/UzcSFEEKgKEowQNQqTn2zlO8ygFEr85VG1UIctwodHq6dsYw58+YGxyKNWul/fPtDHje6RyoAG5xqNpGxcBcAJ7qWqjt0OEPtP3kEeqPqHVr/o5ry+ALklqqZ6HF+NfNppyeWjPxDf4AvhGgcGiRANHnyZD755JPg10uWLMFoNNKzZ0+WLFkSHN+1axdut5v4+Hj69+8fsm3VqlW0bNkS4LDbhGiu9Awis1d7E2GrOtCZFKUGhgp9aiaR0af+sY/yawGiCLUpqlXLIPL4A3UyXyGEEOXKPH58AbUPx4jfr2SW9WHCXNkw9G4YPkU+YRfiOPbVyr38vDmb7O0rAXjXNwrzCadBx7MgpfshjxvVU80c+qtAXdk22rkXgLRs7UPEjiOrdX29UXX8ru/gqwmwYXaN5n+w2IWiqB8+mkY/y7SI/7BDSWPjvmK1n1FZbo3OJ4SoPw0SIOrduzdTpkxh4cKF/Pjjj9x4443861//4qyzzqK4uJj33nsPgCeffJIzzjgDk8nEmDFj+OOPP1iwYAFer5dnn32WkSPVJ7mLLrqIzz77jHXr1lFaWsqrr74a3CZEcxQIKJR51ACRSQ8QWSOr3FcPEOV51ACRxa9+ehPhK1R3CFcDRBYtg8jr84OrGMrypImgEELUET17yGpSCM9ZTV/jNkrcARh+P5w6ucpVioQQx4e/d6kNqbsZ1TYYe23tsZ81BcZ9CcldD3lcl9Qo2idGsNOfBEBrw0FOjHNjztsCGKDD6dW6vp5BFFO4AdZ+DplLazT/fYXaCmYxdgydR7Gp9ZUUEoVl82x4IhVmXluj8wkh6o+5IS46fvx4NmzYwEUXXYTJZGL8+PE8+eSTmM1mpk+fzhVXXMHkyZMxGo388ssvACQmJvLSSy8xevRoIiMjiY2NZcaMGYAacLr99tvp168fdrudjh07cvPNNzfErQlRLxxevxa7UTDofSpsUVXumxxlByDHo/66h6PWhId5C9QdtAwim5ZBZPaVwdNa4/YHD4LFfuxvQAghjnNF2oqSqfYABr8ajM/z23F5/dgtRy4BEUI0T4GAwtJd+YBCX/te8MDFo8+u1rEGg4FRPVP57pdWfOM/mf229rwx1A0/omYeVTPw3DFFDRBtdUap7xZruNT9fq3/UIsYNRMyPV7ts5bhUv9Lyf4anU8IUX8aJEAE6kpiTz31VKXxMWPGsGPHDlasWMGgQYNISEgIbrvxxhsZOXIkmzdvZujQoURGlmdMPPHEE4wbN469e/dy6qmnHrYHkRBNnd5/KMzowxDQlkm2HT6DKN9rBQtE4CLCasLk0gJE2osFPYPI4a/wxsTvlgCREELUAT2DKNXugTLwKiZcWHHkZWGnGKJbShaREMehbdmlFDi8tLEUY/EUgsFEt14Dqn38RSe14r0/0vi45VTeHHcSCc4McN8H4QlHPliTGGmjfWIEB/K156CSAzW6h33aCma9wnJg/Vf0MMcBsKUsQt2hWAJEQjRWDRYgOpzU1FTOOeecKre1a9cuZEn7irp160a3bt3qcmpCNAp6/6EUq6d88BAlZtF2M1azkcKAuj3OUEpMmAUc+eoO4aE9iBy+CpWnfu8xnrkQQgioECCyqQGiMsIAA/bvb4XMxTD2beh9ecNOUghR75Zq5WVnpJZBnlldtawGH9a1T4pk5UNnYjMbMRgMENlJLV2toSEdEtnwtxrYoeTQGUR7C518sGQ3ttxNuLDSu3df9heqGUQD/Stg5kv0bTsaGM+aIi2DyFMC7pJDZr8LIRpOowwQCSEOTw8QtbaWggd12dJDrEphMBhIjrKxpKAbH/f+kOf/LiM1wQqXfwLuIjCp2Xb6KmYuP2C0QMALPnd93I4QQhx3irUAUZIW6C8zqJ+se0zhhIP65kkIcdz5a5f6AV5Ml9Pg1H1Qml3jc9gtJgj4oTALLOEQmVTjcwzpkMDPf+kBogNqX0qDIbjd6w/w8oKtTP9tF16fj2+tj9LRkMWkzbexNf5UjARogbrKtD2hDQA7ikCJjsLgLlGziJIkQCREY9MolrkXQtRMoUN9Q2GyRcCACdDrssPunxRlo4hI/nS0ooBoYsMsYDSqgSWr+qbEomUQef0B/FrQ6GBBcR3ehRBCHL/0DKJEs/pJu9OofrLu0f4rASIhjj+KovD3TjVANLBdPJhtEJteu5N9eyu80gs+vUxdeKSGBrdPJMegBYj8HnzFB8gvK89cf+fXnbyxaAduX4D7k/+mh3E3PqONpf6O7M4p5gXLm3TKnAVAWGJrbGYjAQW84anqCQ6TlSSEaDgSIBKiCcosUGu7TYntYfRzMOqZw+6fFKn2IdqWrb7hiA23VNrHpmUQeXwBnFofogXr9hyzOQshhCinB4girSaIakGxWe31oQeK0BcgEEIcN3bmlpFb6sZqNtI7PfboTharZu2wdwUseLjGh8eEW+jSMoEdgRa4rPFM/fBHBj65gPV7iwCYvWovAI+c0YLrvR8BEDjtAXxhiQwwbmas6Q9MfvX1qiGmFa21RtVltmT1AtKHSIhGSQJEQjRBGbllALRJiKjW/nqj6n553/Gw+X06kwFf/Avm3BEsI6uYQeRW1OrTgpKyYz11IYQQlAeIslOHwV2beSX1aQAcBnXVH9wSIBLieKNnDw1oFY59xpnwzS3gddbuZHFty//dZkitTjGkQyK3eG9niOslPslKxOtX+N/vu9h6sITt2aVYTUYut/6GwVkASV2JOuVGHj6vG0sC3XnQW2Ep+7g2wQDRzphB0Gc8xLau3X0JIeqU9CASognanecAoKc9B5yFEBZ72P31pe4vNC6mn3ErCzxdYfs3YDTDOS8C5T2IfAGFuf7+hCtl7HVWzjQSQghx9PQAUUyY+jwbaVdfkpUpWoBIMoiEOO78vFntN3ROi2JYtQLyd8KY12t3spiW5f9uc3KtTjHkhETe/KW12u8SsOOm0/oXCc/YSmfD1aR36od987Pqxv7XgcnM2BNbkl3ixm7uBjFDIX8HpPaidcJGAH6MuYS+o7vW7p6EEHVOAkRCNEEZeWpmz8hVN8PvWXDtfGg96JD76xlE+xW1hCHdvU3dEJ4QbDioB4gAHvJcDUBvV+yxnroQQgig8B8BomgtQFSiaKsVSQ8iIY4rLq+f37erTZ3P9P+uDrboE9IYukZa9IGoNIhrU+tsnX5t47CZjbh9ASYPb8ktS05VNzjgAfMnONv3gYUrwWCEbucD6uIoN556gnaG8pWn9QyiPfmO2t2PEKJeSIBIiCYmEFDYk+/Agg+7Q2vwp9eZH4IeINqnJACQUrZF3RCeENzHYqr8AiSn2HUMZiyEEOKf9Ayik3a+CWuWM8B6Lp9yAhm2jnDybZDaq4FnKISoT39sz8XlDdA92kXCxvfVwUE31f6EtkiYtFb9dy2DTHaLiVcuP5HMfAfXZ94HwD4lnmQKOdW0Fpd7EdiiIe1EiEw+7LlCAkReJzjyQ7OchBCNggSIhGhiDpa4cPsCnGDMxaAEwBwGUamHPSZZCxAd0DKIYku3qxsqBIispvIMIgMBrPjIL/ETCCgYjbX89EoIIUSV9GXu40q2QebfxHQYDsAWc2c465KGnJoQop589FcGX6/ay/OX9GbBJrW87MGYeRhynNCyH3Q86+guYDr6VgFn99BeY+Y8jrvDSC74IZH7/W8z1vQH9vzNcPc2KMs54nn0AFFE3np44lw1u+muTUc9PyHEsSVNqoVoYnbnqqm5faMK1YH4dkf8ZOifGURBEYnBfxoMhmAW0efWx9hi/zensYIChwchhBDHlp5BZPcWqAPh6vNxscvXUFMSQtSzN3/ZwfKMAm75ZCULNx1ksHEDJ+d8oW4c/kDty8vqQlInbAOvY/zQbrzlH6OObfxWDQ7Fph/x8HQtQLTbHaUOlB6EgL+uZiuEqCXJIBKiidH7D/UIzwc3ENfu8AcAiZF6D6J/BIjCE0O+tJqMeP1+vNoqZlZ8HCx2k6AdL4QQ4ugpihIMEFldeQAYIpIAcDidkL8LlAAknHDIcwghGr8VGfl0TIki2l45kye72MXeQnWFsg37igE426pl4qQPghNG1Ns8a+LWER249pR2sNQB7U6tVnAI1HK1lGgbOcUxKAYTBsUPpdkQ3aKOZyyEqAkJEAnRxOgrmHUway8i4o8cILKajcSFW9jvOHQGkb5fmcePR3tqsBq8ZBeV0i3aDZFJRz95IYQQlHn8+AMKACYtQERkIlBEgjMDXh0NEUkweXvDTVIIcVTmr9/PtI8/YXzLg1zQqgylzcm8mN0Xm8XExBEdWZVZCKgN6vXMQWPbkyG+DIY/2LiyhyowGAxE2sww9M4aH9s6PpyDxW5ctkTCXAehZJ8EiIRoZCRAJEQTsydfzSBqqRxUB+LaVuu4pCgb2xzRnON+ki8mX0iE3QZGU8g+Fq0PkQf1k65hxrUM+6InJHeBm/44NjcghBDHOT17KNzkx+AqAkAJVwNEzoD2vOyT8l4hmrKMP2cy0/Z/kAvkgmH1RyT5zuQx31Wc2yuNVXsKAbikWxgtwwM8+aeDEaecAp3GNui861J6fDjLdhdQbNEDRAcaekpCiH+QHkRCNDF6D6LS9qOg33XQsm+1jkuKsqFgZIuhHeFxqRAeD/aYkH30pe4TTeo1xpiWYFR8kL8TFOUY3oUQQhy/ihxqgKi1XS0vwWDCYI8FwBnQSlF8soqkEE2Vzx/ghH3fALAy0IGczleiYOBf5p9YbbuBH9YfYNUetf/YmMAirl1+PlsH/8SwTs07Wzs9Tu1DlGPQMtqL9zXgbIQQVZEMIiGaEEVRgj2IbP3GQ3JktY9NjrIDEBtuwXCItGV9JbMIC6C+fyGAAaPXoTYTPMJqaUIIIY5MzyBKtvvA1AoMRixm9SWZQ88g8rvVwHwjLTMRQhzaiowCHnBdzbmmziwK9OHClNPw55zAf/KeJsLgZtnqVazNU1/DdSpYDIAxpVtDTrletIoLA2B/IJYeACX7G3Q+QojKJINIiCYkt9RDmcePwQDp8WE1OlZfyewsyxp4JAae7wylocuS6hlEv6bfyL6EwZzlfoY8sxYUyt959DcghBAiGCAqjWgLd26AO9YFV5F0BCp8dueXMjMhmqKft2RzkHg+NZ3HTiWNBZuyeeNgd05zv8gw90v8fCCM9r7tfG+fQtjBFepBXc5p2EnXg1ZaBtGf3s5w4nhIO7GBZySE+CcJEAnRhOj9h06IBlvBdijaW+1jk7SVyAYYNqoDpQeA0LIxPUBkaDuUtcNnsFVJZ69BDxDtOrrJCyGEAKBYCxDFhJWvbGTWMjjL/BVWO/K563VeQohj4+dN2QBMGNYegNWZhXj8AUyxrUhp0wWAS02/0B3tw7eWfSE6rSGmWq/0DKKPS/sSOO916HpeA89ICPFPEiASognR+w+dGbkT3hgAn11R7WM7p0YBEBERVT4YFheyT2q0WobWOz2WlGg1oLTTn6xulAwiIYQ4JgqdamZQxQCRXuLr8Fd4aSYBIiGajM0Hipn6zXo++GkpDxU8yKXmxVwzuG3w9RTAsE5JnN1DXbXrv77zyw9upEvaH2stYuyYjAY8/gA5pfL8JkRjJAEiIZqQQu1T53iblvljtlf72KEdE/l24hBO7d6qfNBkCdnn2Yt78cV/BjOgXTzJWrBoizdR3SgBIiGEOCb0ErOzS2bB9DNhxQwsZrXEzBtQYOCNMHgimK0NOU0hRA28+csOPliSwZZfPmWYaR03hP1CTISVk09IDO5zaqckzu6hZmYfJJ4t/R6BNkNgwH8aaNb1y2wy0iJGfX25N6cAcrZIIFyIRkYCREI0IS6vH4Awo08dMNsOs3cog8FAr1axWLtp6bzRrSrtExtuZUC7eKC8JG2Vrz3uLhdCu6FHMXMhhBA6PUDU0psBWUuhNAeLlkHk9Ssw6hkY+USllSaFEI2X/nvdxZ4PgLnNIAAGn6Cu2GUyGji5QwItY8O4YkA6fdvE0fqs2+CauRDZvFcvq0gvM+v25VA1Gz57YwPPSAhRkaxiJkQT4tYCROEGbYmxGmQQBSV3gVuWHfHFiNVsJCHCytKyruwYNoFuadE1v5YQQohQXifWol2AiehAkToWkRAsMfP6Aw03NyFErTk96mu0oW3CYSe0S0sB4MyuKXRIjmRQ+3ii7Wrm9lMX9mqweTY0tVF1PvnWNNJcOZC3Q5pVC9GISIBIiCbE7VPfONj1AJGpluUHSZ2qt1uUjbwyD9klLrohASIhhDhqX/6bqbvmsc4wlUhfoToWkYRZW8XM6w9AWR54HRCRBJZafBAghKh3epa3VdFKpixqpkxchJUFd57aUNNqdPQMon2mNNJYI4ugCNHISImZEE2I/uLDHiwxq9s3DilaH6KcIgcUZICrqE6vJ4QQzd7WeQBMNH9NmLdAHYtICikxU949E17uAftWNtQshRA15NQDRAGXOmAJb8DZNF76Uvc7/WovprL9W4LZV0KIhicBIiGaEJdXyyDiKErMaiA5Su1DNOjP6+GVXrB1fp1eTwghjhcblLbYPGqvEsITgwEiAEXPDpXmrUI0GXqAyBwIzSASofQMog1utXn3lo2rue+rtQ05JSFEBRIgEqIJcfnUFx+FcT3UFW5OGF6n19MziA4a1Tp6SQMWQojaufOL1Zz32u8otigAvvGfjMlbqm6MSAz2IAJQ9AUIJEAkRJPh9Kgf4lkkg+iw0uPV78uqUnVRlDaGA2zYV9yQUxJCVCA9iIRoQvQSs7yUk2HQFXV+vSi7+hRx0NRCHZCl7oUQolbmrN2P1+cDuxoUMgD+qFaYPMVgj8EcUIL7KiYtO9QvASIhmgr9NVruuTOIiAKsEQ07oUYqJcqG2Whguz8FLJBgKMHvKARnAVgiwFzL/ppCiGNCAkRCNCHBEjNz/ST/2S0mAA6a1DpxijLr5bpCCNGcuH1+PL4AEbgxoAaCXFjw/Hs+YfEtwWCg4tN6wKiudCQZREI0DYqiBEvM7BFRECnN5Q/FbDLSItZOZr7CDN9Z5CoxJPgyUF7uhSG5K1z3Y0NPUYjjmpSYCdGE6J9ORQcKoSgL3KV1ej2b9o6lKKDV0XvK6vR6QgjRHJW61IUFFAz8EHM5AL/Y7sK+choY1NXLDAZDsMwsYJISMyGaEq9fwa9lAeofrolDaxWrlpk94vs3r/vH8rDxXQzuYsj8GxTlCEcLIeqSBIiEaEJc2jL3PTa+CC91h2XT6vR6+oscR0D7NNvrrNPrCSFEc1SiBYgc2Lm/5CLu8d4AgGHvipD9LNpS936jHiBy1d8khRC1pmcPAUQuegi+vwuK9zXgjBo3vVE1wBDjOnoad5dvlA8jhWhQEiASoglxay9ALEr9rGKmZxCVSIBICCFqrdTtC/670OFlTeAE9Yvdv8EfrwS3WbTn3LKWp0Dff0NS5/qcphCilvQMb5PRgHHtJ7BsugQ6DkNvVN2/VRgzrM+Vbxj5ZDCrUgjRMKQHkRBNiFvLIDIrHnXAVLeN/II9iAKxcNLVEJFUp9cTQojmSM8gisBJvKGYbCW2fOOORTDkdgDMRjVAlNd1PMktout7mkKIWtIDRGEWEwb9wzRZ5v6QLuufzsZ9xdzTZguWn9Xnx2WXraR/1xMaeGZCCAkQCdGE6C9AzAGtL0U9ZRBlBeJhzKt1ei0hhGiuSlxq1udQ4zresr7M0kCFzCBj+Usxq1Zi5vUH6nV+Qoijo5eYRZgV8Gsf4sky94eUEm3nrav6gr83n//1G58XdGKCX1Z9E6IxkBIzIZqQ8gCR9uLDbKvT69m0DCI9c0kIIUTN6SVmUQaH+rUSxntpj0Bydzjz0eB+eomZz+MERz64S+p9rkKImnN6tEVELOW9iCSDqBpMZuYnX8tKpRPe/AzIXAYlB2p3rkAA5twBPz8BHsexnacQxxEJEAnRhOjL3JuCAaL6ySByeXzgLIDi/eofYCGEENWml5hFopaelBLG7pQz4eY/IaV7cD+LtopZysqX4dl2sOjJep+rEKLm9AyiOLPWIxJDnb9Gay5iwtQ+lz3XPgnvngFb5tbuRM4CWP4/+PXZkMxMIUTNSIBIiCZCURRcPvUFiLGeAkR6DyK/zwvPtIUXu4CrsE6vKYQQzY2eQRRvUsuDS5UwYsIr95DTA0Q+g7ZNVjEToknQM7xjLFqAyBIuzZarSQ8QFRsi1QFnQe1OVJaj/tceC+a67dEpRHMmASIhmgiPP4CiqP/2dxmjrnATm16n19QziEp9BjDKSmZCCFEbxVoPonbRagZmCWHBN0UV6cvc+wzaNp+nfiYohDgqTo/6ux1t0lYslPKyatOfC4uofYBoxh+7+GPtZvULVyFsmnOMZifE8Ufy74RoIvTyMgDDsDvBbKrza9or9CBSIsIwuL0SIBJCiBoq1UrMWoX7oFTNIGpTZYBIDcp7JINIiCZFLzHLD2sLd20pb1Qtjig2XH0uLAhoTaprGCDaW+jkke82coFlJUP0l8b7VkLXc4/hLMXxTlEUFAWMxuafGSgZREI0EW6tvMxgAKupfn51bZYK19FX4/BK4z8hhKgJvQdRlKG8B1F8xKEziLxo2/zu+pmgEOKo6AEim9UKUakQ27qBZ9R06AGiXH0VM0fNAkQZeWUARAcKywdLs4/F1ISg0OFh+m87Of2Fxfy06WBDT6deSAaREE2EW8sgspmNGMpywGQBWwwY6y5YZK+QpRQwh2ECySASQoga0nsQ5aWcgi0qgTRlACefkFhpPz2DyBvMIJIAkRBNgUtbxSzMWvfZ3c2NXmKW7dM+iKxpBlGB+ro0wVBcPigBInEMfL1qL/fOWsulyjzuMW5gx6/nQPc7GnpadU4CREI0EXoDRLvFBK/0AW8Z3L4G4trW2TUtJgMGAygKKHpDbMkgEkKIGinRehDldryEAT1bcMMh9tOzQ4MZRBIgEqJJ0DOI2nu3wQ+fQlIX6HdNA8+qaYgJUwPiB7xa36YaBoiytABRIhUDRMdHpoeoW7NX7cXtCzAsKoMzvctwdzunoadUL6TETIgmQu9BZDebyvtSmGx1ek2DwRDMIvKbtD/ckkEkhBA1Eiwxsx/+czmzVmJWYG8JPS+F9qfV9dSEEMeAHiBK92XA32/BZmmSXF16idl6dxIMuwcG3VSj4/cWqq9Ln/RdyW89n1IHJYNIHAMFDrWX2ImJWglpdHJDTqfeSAaREE2EvsR9hFkBLZUZc90GiEDtQ+T0+ilpczq2tO4Q3aLOrymEEM2JHiCK82aDw6Quw1xFebBeYnYgqgecfV59TlEIcRSc2uuycIPWnFpWMas2vcRsuysW/2kPYKphE+CsAjWzvYww1pm7MxTUJe8DgTptwyCaPz1AFOYtVAfCExpuMvVIAkRCNBF6iVmUxV8+qJd91SE1g8jLgd63ktgyps6vJ4QQzY3eg6jrN6PBXQi3LIWkzpX2C5aY+QOVtgkhGi/9NVq4QSsL1Rf2EEcUU2FFx2Knl7gIa42O1zOIAHY5tMBcwKcudx8efyymKI5TBWVqebjVrZU9HicBIgmrCtFE6CVmkeYKbxzqKYNIvb7/CHsKIYT4J0VRtACRgtGrrraDLarKfYNNqn0B8HnAXVpPsxQNYdvBEt5YtB339t/gndMga3lDT0nUkl5iZkcyiGrKYjISoTX3Ltu/BTKXgad6/S79AYX9hWrbhYfN7zNo73swcTk8lCvBIXFU3D5/8MMdsytfHTxO/p+SAJEQTYQeoIk0qU9WGC1grPvVMvQeRG6PB1zF4Cmr82sKIURz4fT68QcUbHgxBNRPIw8VINJ7EMUVbYDHk+CNgfU1TdEAnv5hM8/N34Lto3Nh3yr44l8NPSVRS3qJmR3JIKqN2HA1ayhl1lh49wzI31mt4w4Wu/AFFGx4uMY8n4tKP4HIZDBJkYw4OoUOLXvIGIAWvdXG85JBJIRoTNw+NXMoylR//YegPIOozd+PwtPp8Odr9XJdIYRoDvT+QzFGbXEBDGCJqHJfPYPIra9i5pdVzJqznbn/+MClLLdhJiKOWnkGkR4gkgyimtDLzDyWaHWgmiuZ6SuYpZhK1OMVM4q16gC8EDWh9x+KCrNjuPYHuOVvCItt2EnVEwmvCtFEBEu8LGHQZ3y9fTqiZxB5jFpASpa5F0KIatMDRMlWrfTEGnnIxqlWs1bSq2jP77LMfbMVCCjsLfjHqqDHyZuP5sittQGwBiRAVBt6gMhljiECqh0g2luoviYdkOyHAsglmtgVnxKesRC6joHuF9TNhEWzl1+m/s2uaU+s5kACREI0EXqAyB2WDBe8UW/X1TOI3AY9QCTL3AshRHWVuNQ09SSrBzwcsrwMwKKVmDkDWgaRz3XIfUXTllPqxuMPYNN71gB0OrvhJiSOip5BlHHSZFqfe58E+2pIX+reYYoiAcCZX63jsvLV16Rdo9xQAHlKNPY9KwlfPwtiWkmASNSa3qA6Pvz4CxBJiZkQTYReYma31O+vrU3vQWSQDCIhhKgpvcllkkULBBw2QKQF5PUMIr8HFKVO5ycaRma++rfUi5kn2s6AKz6H815p2EmJWtMDROaIREjsABGJDTyjpkUPEJUYtOfHamcQqQGidJva0D9XiaHQFKduLM0+tpMUxxW9xGxE4E94riN8fXMDz6j+SAaREE1EcAlVswLuEnWJe5PlCEcdveAqZkgGkRBC1JReYuYNi4cu1xz2jaMeIApmEIFaZmax1+kcRf3Te6cEMLIl0BI6D2jgGYmjoTepDrPW/eIhzVG0VmJWbIhUB2rYg6iFWQ0Q5RFDuBJDe5AAkTgqBVqJWQtTMZRlg+f4WVVUAkRCNBF6gKirYwU8dSq06AP/WVzn19V7EEmASAghaq5UCxAVRXaA86447L7lJWYV3mT6JUDUHOkZRABFTm8DzkQcC/prtBab34etRdDrckjq1MCzajpiw9QynoKA1sC/hhlECRQDkKtEY/Zpja4lQCSOQr6WQZRg1AJDx8kKZiABIiGaDJfWADHMoL2QNNfPGwY9g8ipaDW4UmImhBDVVqz1IIq0HfklV3kGkQk6j9ZWqzTU5fREA9EzH8YY/6R/4UF4ZLT6d/3e3dLguAnSS8zitn4JOeug9WAJENWA3qR6rakHo4bdAy37HvGYQEAJBogCp97Pe+Hn8L8/9jPeo/3+lB6ss/mK5k/PIIrTgo8SIBJCNDr6p1P2YICofpa51zOIci0toPtYSOleL9cVQojmQO9BlGhxgyMfbNGHXIVSDxD5AsC4T+triqIBZGmrL401/cZw7xp10OcCZ6EEiJoYRVGCASKjX2ssbwlvwBk1PXoPouV0gRHXVuuY3FI3Hl8AowFSkhIIS+lINi52OLUMTEcuBPxglLI/UXMFDvX9VnSgSB04jgJE0qRaiCbCpTepNqpvNuo7g2invRtcMgOGTa6X6wohRHOg9yA6I/8TeLYd/DjlkPtatQCR1x+ol7mJhpOprb7U2vCPMphqltaIxsPtCwR7yRt9Wpa1BPlqJFbLINqWXcrZL//KxW/+Gfxg9FCytOyhFjFhWExGUmPU18XbSipkXjqqtxqaEP+kN6mO8B9/ASLJIBKiiXDrGUQ0TAaRvoqaEEKI6tN7EEWi9W87zCpmZq0HkUcPEAW0/xrl87zmxB9Q2FfoxEiAVoYcABSTFYPfA67Chp2cqLGKgQyD3qdRMohqRG9SXepw4nFm4MbFu78nc8vwDoc85kCRmq2VGmOH+Q/Sw20kjm7sL7HA3dsgPF6yh0St5WslZnZvoTpwHAWI5BWHEE2EnkFkq+cAUXAVM69ffbPikR5EQghRXSVu9Tk7QtGeO6uxzL3XH4BXT4T/i2PGzNl1PkdRvw4Uu/AFFFoaC7AZfHgUE96ErupGySBqcvTyMovJUCFAJBlENXFCUiSt4sLoH+fgZ9vdfG59jDd/2UFuqfuQxxwsVgNELaKs8NebJK58FSs+ChxeXDYJDomjU6iVmCnxHSCpK0SmNPCM6o8EiIRoIvRPqKz13oNIfZqILdsN/xcHL3Wrl+sKIURzoJeYhdUoQKTg10pW5qzaHWx0LZqHLG0Fs5OiCtWvlSTctjh1o7OwYSYlai24xL3FAD7JIKqNMKuJ3+4Zzqe3jwYg3ODG7y7l5QVbD3nMwWI1eNQ6wg2K+jPw2OIBWLWnUN1Jr/2rK4pS99cQ9c7t8wf7B/oumgG3/AWpPRp2UvVIAkRCNBF6iZknpr3aLDrtpHq5rs2ifgJT6tcqUmWZeyGEqDY9QGT3l6kDhwkQWc1qiZnPHyBgUj8EsBm8FJZJgKg50Vcw6xGeB8AeJQWXSVuaWzKImhw9gyjGXKEUXzKIasxgMKhN/CNTAXjA/AlfLt3FvsKqX3dmaxlE7SyF6kB4Imf3bg3AV3+sga8mwOv91UbVdUFR4L3RMP30uruGaBB69pDJaCDKfvx15JEAkRBNhL7MfUm70Wqz6P7X1ct17VqJWYlfrQ/H5yrviyGEEOKw9E8hrcEAUfQh9zVrvYY8fgW/0aoehy/YLFM0D5kFagZRB5PafyhDSSY/or26NHpEUkNOTdSCnuFtttrglmUwYbFkENWWwQBjXgMMXGVewG+WWylb8h4U768UPD1YogaIWhu05ezj2nL1yW0A+HZzKYEt8yBvG2Qtq5u5luXAnj9h7wrI2VI31xANQu8/FBtmwWg0NPBs6p8EiIRoIlw+rUm1pX5/bW1ak+pggAjKU6iFEEIcVolWHmbxHTmDqGIPIr9BDRDZ8EqAqJnRM4i2dL6JqWnTeNc/mlVtroNr50Hvyxp4dqKmnB6tR6TVCkmdIK2PNJY/Gp3OgtPuAyDZUEjHv++HF7vA32+H7KaXmKX4ywNEXVKjGdguHnfAxOaoQer4lrl1M8/ifeX/ztlUN9cQDUL/mzvQngHPdYAPzm/gGdUvefYSoonQP6GymwL1msGjB6SKfRVSLKXMTAghqkVfxczVYRT0uBiiUg+5r15i5vUH8AUziLzBdHfRPGRqPYhSE+MpjenEHiWFIqf8jJsqvcTMbpGmyMfMsHv4NXIUWwKtyEoZoY65S0J20ZtUx7m1QE2cmj109cltAfggT+uZuXkuZC499nOsGCA6uPHYn180mAKtrDvdWqZmih1npb8SIBKiidBLzFr/fp/aLPqPV+vlunoGkcuvgNmuDnplJTMhhDgSf0ChTGtg6xvxCFz8LsS3O+T+wQwiXwCfQc3atBkkg6i5ychT/4amx4cHl/eWAFHTpQeIWhrz4OcnYNn0Bp5RM2A08lWrexnpeZYD4Z3VsQoBIofHF+zvFuHcqw7GtQXgrG4ppMXY+d7ZHa9iUsvM3j0Ttv54TKbm9vm5dsYyfvxrlToQf0Iw40k0D/na39xUc6k6cBwtcQ8SIBKiyXBrJWbmgPZGwWStl+vag8vcB8qbLkoGkRBCHJHefwggshqNLoMBooBCfkwPfvb3IVuJo0AyiJqN/DIPB4pdpJBPrxUPcmrBLADic/6G5zurTW9Fk6JneLcy5MKvz8JfbzbwjJqHKLsaPC1RtA8nPaXBbXp5WbjVhOmKT+DWldDlXADMJiPv/KsfPU9IZ0lAzSLyGyyQv/OYzGvVnkJ+3pzNG1ujcZ58D5x2P5gsRz5QNBmFWg+iZJNWGn6cBYiOv7bcQjQBry7cxqIt2Xx8/UDCrWYURQlmEJkULUBkrp8AkZ5B5Pb5octINXvIbKuXawshRFNWrGWFRFoC2DxFYIw9bG8Si6m8xGxth5u4a9XJALSRDKJmY+O+YgBOjTmIZe3H9InsAPSl2AOUHgCrNDeuK4GAwswVWezfs42ykiJ69DqJMTE7Ye0XMLb2QR09QBRl1H5PZQWzYyI6TH2bWhzQAkTuigEitbwsJdqOwWKHhBNCju3RMoZPbhjEZ/Oe4KXf3ier1bm8MOjCYzKvnTlq0GBNoD0/Jvfh/F4tj8l5ReOhZxDFG7WstfDEBpxN/ZMMIiEaoc+XZbJqTyHrsooAcPvKew6Z9AwivdyrjoVkEF34Nlz2YTCNVwghxKHpK6EMsO+DZ9vBK70Pu3/FEjOHt3zZZMkgaj427lf/rg+IygWgLKo9ANle7W+6s7AhplU/XEWw8oMGu8dftmZzz6y1mFe9xwO7/43/m9tQPrkM1nwCRVm1Pq9TKyONMGq/p7KC2TGhZxAVBrQPJT2VA0TJUYf/wLLviSfxiv8i5uwNwz/nLnj7VMjbcVTz2pVbPo9ftuTAivfhq//A/rVHdV7ReBRof7sTAvnqwHGWQSQBIiEaoTKPWpbgdhRD1grcnvI3Cka/mlZbX1k8IRlEQgghqk3/FLKVTSvLDYs97P7lq5gpOD3l5WmFkkHUbOgZRF3NBwDwxnUAYL9HyzpxFdbrQhT1atYN8O2t8MO9DXL5v3aqb/YGhu8HYIWvHYGoFurGgt21Pq/egyhCMoiOqWgtQJTv1V7vVuhBlK2VmJ1kzYTZN8HSaVWeo0NyJImRNty+AM5dS2H/ajiw7qjmpWcQnWTYyu4tq1E2zIa1n/Hrz3NRFOWozi0aVma+g1+35rC30EkkDtpnL1A3RCY37MTqmQSIhGiEyrS+FT0XXQPTR8D6LwAwGsCgB4hM9RQgqpBBpCgKKErzffEqhBDHkB7YaWGpXh+D8h5EAfpsfY1Ntn8z2fyZrGLW1BXvC2bNbNACRC39mQAoiZ0A2OfS/qYrAfCUVDpFs7BtvvrftZ81yOWX71YDRN2MewDYHEjHEZ6ubizIqPV5gwEigx4giqj9JEWQXmKWEUiEPuOh25jgNj2DqJsxQ80A2zynynMYDAYGn6A+7+4yaQsEHNxwVPPalas+n39gfZrZgdvJLFOftzM2LWONlvlfUanbh7LmM9j9h/oaWjRKPn+AC9/8k3/9bynLdhdQSjj7T7gEel0O3S9o6OnVKwkQCdHIeHwBvH71D0hcnrpCgm3tx4C6hKrBp/5RrK8SMz2DCCDwyWXwaBysn1kv1xZCiKYsX1sqN8VcvQCRVQsQKQp4fT7CDB7seBlW/J2aeRGQTM6mJKvAgdPpVH9275+Hy+tnR45anhJdugsAc7K6QlOOywBmLfOkOS6pXPGNcUzrer+8y+tn/d5iYikh3HUQgM1Ka/KtR59B5NKyvMMMkkF0LOklZlt8LeCCN2DY5OC2gyXqh6UtyVYHDtP64GQtQLTcqf2sjyJA5PUH2JPvIBIHkQb19fibWWrg6UTjdso2zoPZN+L7+10+/juDMa//Tt+Hv8P93d0wYzTs+rXW1xZ1a+vBUnJK3BgN6gfy4VYT1nOfU9tr2GMaenr1SppUC9HIlFVY9Ubn12K5dosJ2gyBqBb1lu6o9yACCCgGTCiyzL0QQlSD3scgMdjo8vABIrPWpBqg1K++RLPi5XTPIli9E/r+G1r2rZO5imNryY48xr/7Nxd0i+aFPX+Bp5TtuzMIKNA+3I3RmQeAvUVn4C+KnV6UxDgMJU41QBTXFnxudVWzmJZw6QcNej9HrfRg+b9HP1vvl1+3twiPP8Dw8P0QgFxLC0pd4RwwptAGoPDoM4jCDFqGtwSIjolobeVHvdl/RXoGUZJPLResToBoYUEi15iB7NoHiDLzHfgCCm0shQAUKeGsCHQEoIdxN2XLHwBvHjuzDvLg3lQALjL+hd2n/Q3Y/hPEpkN8+1rPQdSN1ZmFAIxLz2HqACOBNkOxxRyfv8uSQSREI1PmqSJAZFA/RbGbjTDqGRj3JbToVS/zsZqMGLT3LH6TlrUky9wLIcQRFWglZrFobw4iDr8Sil5iBlDqV7M3bXixKy4IeMHRDDNLmqlXF27DH1D4aXsZivZzP7htBQBDE7X/H2LSiY6OBSCggC+1D7QeDAYtc3fnYti7HDZ+A/6mW2b46dI93P26mglNYifoPKre57B8t/q7c3qcmnFSEKm+qd/tT1J3OKoSM7XsflerC+H6n+GUO45ipkIXHaa+9i12edQVzIr3B1scZGsBoljXPnXnwwSIWseHkxZjZ4OvlTpQsDukn1FN6P2Heseor4MPKAnsVFoEt0d41cCvrVj9/+ncXi240ryw/AR/vgb7VtXq2qJurdqjPkeMNf6OZc6t2Ja/1cAzajgSIBKikSlzl5cQLG/1bwAcUW0BLYOonhkMBmxm9anCZ9Ii6ZJBJIQQR6QHiGIUte8M4fGH3d9SMYPIpwWIDF4KlEh10Jl/7CcpjrnVmYUs2ZlHL8MOjK4CnPFdAXBnrQHA3nYAPLAP/vUNdospmKl7YNS7cO08CmO6cO2MZaxY8Xf5SZtwgOjDJRksKGrJwt4vwvAHG2QOKzLU353e1r0AuBK6AbDFrf5OOnN2MvWb9fj8Ne+xqK9iZohKhlZ9Ky25LmonSssgcrvd8FRLeLELuItRFIWDWpPqsDJt9bnYNoc8j9qHKJECoim1aEH67M21mpPef6hruBpgim/Rhmcv7cvetLPIUaJ5KvZRAJK8ewGFCZ0d9DVuw6uYKGh5mnqS3O21uraoW3oGUUeX1sS89aCGm0wDkwCREI1MxQyi1XEj4YrPyGx/OQC2BggQQXkfIp/eGFsyiIQQ4oj0Ze6LUwZA9wshqcth9zcYDMEgUbFXfYnW17iVISatJMIhAaKm4K1fdmAkwGuW11hiuxVnsfpzs+dvAqBbWjRYI4KBhBgtU6JIK6V574/d/Lw5m/ztWoBoxBSwNs2l00vdPjYfKKaQKDZGDFDL47cvPPKBx5CiKKzIULMDjH2ugNMewH/C6QAsK0tGGf8Vl7un8MGSDFYtWaCusuYuPdwpQ7j0ErMGeo3WXOmrmHkUM4rJqg56Silx+3B6/djwYHZopYuHySAC6NM6FoCdpnZqeZe7uFZz2qktcd/OpjajTkprx4UntSJ75Nuc7H6duWVdUAxGwnGRSDEn5Kk9hxYGTmKLtad6krxttbq2qDvFLi/bc0qJwkFk4RZ1sPXghp1UA5IAkRCNjKNCBlGWpQ10HkVBeFsANZPnqXR4ogUU7qm3OemfbnoNUmImhBDVpa8+VtjrOrjkPWh7yhGPMRvV51s9QNTKkFu+UTKIGr0dOaXM33iAocZ1tDFm48bCXzHnAJDqVDMHuqdFhxxTMUDk8vr5+G+1PKWTb6u6Q9pJ9TT7Y29tZiEBrT+1r+ggvDcKPruyXuewI6eMAocXm9lIm74j4bR7ie04BIDthQoZsYNY41QzS/ovuAT+fgsWPVHt8+s9iFpn/wx/vAL71xz7mzgO2S0mrFoGe8CiZVG6S4LlZZ3shYABbDEQFnfYc3VJjQLg5sA9cNsq6HB6reakl5ilGbVy3+g0AFonRODFTGaJH0+EOtbNnkN47moA/gp0ZaVDy17KkwyiEI588mZciWP99w02hbWZRSgKjIzZjQEF4tpBVGqDzaehNYoA0dlnn82MGTMAWLx4MV27diUxMZEXX3wxZL+ZM2fSpk0b0tLS+PTTT0O2vfHGG6SkpNC+fXt+/vnn+pq6EMdcqdakOoV8Jq6/BKaficunpjzbLUbwlKklXvqnKfVAzyDyGvUAkZSYCSHEkegZRHHh1X++1jOIdnti+Dvwj4wjySBq9GatyEJR4Lr4tQB86z+ZXxxtATiBLFLCDZywcAJ8N0ntqUJ5gCh+9Vsoz3fm364PiaGUNgYtO8IWBaXZ9X0rx8TKPQXY8DDRNJukgpXqoM+lNuCurzlo2UO902ODAYcWsXYMBjW4s2iL+r2NoMKHX9VcbUpRFHJL3Vjw0W3tU/DTVDiw/tjewHFMb1Ttt0SoA+7SYHmZK7o9TDkIN/1OsFnmIXRKVgNEWcVeil21L9fcqZWYBbqOgdMegPanARAfYSXCqr5WPmhWA0T9ogoxFKgf5q4NtOeXPG0lrNztstx9BVu/f5mE3d9jmHUdFGU1yBxWZ6rPEWdG7FYHjuPsIWgEAaKPP/6Y+fPnA5CTk8OYMWO44oorWLJkCR9//DGLFi0CYP369YwbN46HHnqI+fPnM3XqVLZsUVPA5s+fz913380777zDRx99xPXXX09eXl6D3ZMQR8OhlZjFGkpJ9OyFrKUk7JkHQLgZULQMo3oMEOkZRCURbeCEEWqTSSGEEIekKIrWg0hRVzGr5hL1+hvYnzw9uMwzlTVKh/KNkkHU6C3akoORAAM9annY/EA/FmeH4TaGYzP4uC/5Lwxb5sKGr4I9qWLC1L/nHreLMHcOiRTR3bi7/KTvngmrPqrvWzkmVmQU0MmQxd2WL7ngwKvlG1y1K/GpDf1N/SlxxbB1PuTvxGY2kRKlfui1e/l8bjfN4nbzV+UHFe4Bf+VFQ/5peUYBGXkO/m1diL1sL0QkQ7fz6+Q+jkd6mZnPpJVYekrIyFM/pEyJtoPZBrGtj3iemHALLWLUn/e2gyVqgKaGQZoSl5ecEjU4ldT7bDjtXmhzMqCWB6fHq3Pc6E4koBhoH+aAm5fgvnklmwwnsLo0DsVgBE9Jkw34Hiv+QPn33r79BwDCFCdls25tkODZqj2FAPQKqGXAtJEAUYPJz8/nrrvuonPnzoAaLEpLS+Ohhx6iY8eOTJ06lXfffReA6dOnM3z4cK6//np69uzJxIkT+fDDDwF48803ufrqqzn//PM5+eSTOf/885k9e3aD3ZcQR0Nf5j6K8iydrlvVTvpRpgpvMMz2epuTnkG0N/0cuGo2DLqp3q4thBBNUZnHj9evEEMZqW93h8cSq9VouOJKZgBtjBXeSOh94ESjdKDIxab9xfQ3bsHmyUexx7JM6Up2qZe7mcQo91MMsGmrZXU7X31zS3kG0dfb1b//A0xbKUoeyEDX6+QkaY1Sy3Lq/X6OlqIorMospKtRveedpvZg08rrXEX1No+sAvX11EDPEvjkUlj0JACt4tSFN1rn/MIdlllMMFcocYltA6UHj3juD5ZkEE0ZkyxfqwPD7wdb5DGd//EsSvvd8JjUDCJ3WRFvLFJLtE7S+gpVV6eUKECh5TeXwtNtoHhfjY7XG1QnRlqDv7MVtdYCRPcVXkAX9wz2dLsBDAZsySfQMS0eDxYc4S3VnY/jPkQz/thFz0fms2RHHj6fj+/cfVgXaItbMROx52d4qQfkboM1n9eooXduqTtYhVETiqKwOrMQK14SXbvVQckgajh33XUXY8eOZdAg9Y/fmjVrGD58OAYtTXDAgAGsWLEiuG3EiBHBY6u7rSput5vi4uKQhxCNRZm2GkaUoTzV2eRTX9xEmiq8uTDX3xsFPYPI5a356h5CCHE8KtDKy1pYtGa31igwVX5T8U8VA0TRlBGrrYD2fL+fYeybx36i4phZvFUN5o2LUcvLDJ1H0SYpFoDvHD3INLUk7YDWoLnXZcHjWmqBipnOvuQrkbQ37OPf9sUcJJ6t0doblSaYcbAzt4xCh5euBrXMZgttwK6V2bjrL0C0t1B9PZWqaAGfmHSgPECUqahL3a+gGzd5bmfJ0PfVsqWYloc9b3aJi3nr93Oj+Tsi/EWQ2BlO/Fcd3cXxSS8xc2kZRD+t2s7eQiddYvxM2vovmHNHtTK94P/ZO8vwOK6zDd+zvCtaMcuWmZmCju0wg5M0jG0Y2ob7NW1TSBpoqEkbaJM2zGmYE0PimJlZzFppV6vl+X6cmZVky7JkS1pZOfd1+bI9eEYwO/Oc531eGJ6VACgYvNXi569qQ4fbu7wBPlxdhs8fgOIl7K4UDs4hqVbY8Z0QMVq5XXSByKXGE8DMoLQWoXBivhOAlwv+BL9cDwWHd2rM/ZEfttfiDYR54uutrChu5CHfmZwVup8nQ2eJDRpL4D+nw3u/gC2fdeqYVY0+Zj30HZf/ewls/wa2ftnp8awuaaC2KQBGK+Ebl8OZ/4DUIfvfsR8TM4Ho22+/5euvv+bBBx+MLmtsbKSwsDD6/8TERMrKyg5qXXvcf//9JCUlRf/k5+d323VJJAeL7iBKpCm6zBwS/44zaQKNwQyG3uuWoTuI/KHOlUhIJBLJTx29xX2BTQSq7q/FvY5JyyAap2xnje3nAFSrSVT79i8uSWLLd5urAZWZkaViwYhT2wRSX5u1DcXvhsS8Ni+IVx1ZyJ/PGsNDFx9JZOZdAJxc+yLxeCkNiuwUmg49gUjvHDbcVAHAhlBujBxEQiBKDohx6CVJecnihV4XiLLsIT6NTOdb//BOHff1JcUYwn4uNWvZp8f+Doymbhy5RC8xK06ahmvYuby8Rby6PjDNi6FmE+xc0Omv+fBM8bu0lQFiQWXHWVGPfbWVm15byer3H4V/HUfh4t8CMDHJC/89A/7ZtulAQWrbToNHrL4T3rgYKtYxsUCEaH9Wmw5JeWDY9yv4ou21HP3gt/ywrWaf2xzK+LVc1UU7anl2/nYATh6bzXfpF3F/8AI+Hfs4TLlCbLyf75HOoh21uP0htuwugZfOglfmRjPe9sdjX4lmAKeOz8YWnwwTLtxvplV/JyYCkc/n45prruEf//gHCQkJ0eUmkwmrtcUVYbPZ8Hq9B7WuPe6++24aGhqif4qLi7vt2iSSg6XJv7eDyBwWP89xRm2WpBfLy6DFQeQsWwB/yYN/ndCr55dIJJJDDT2gOs+iPY84Uju1n0VzEKm0PKDuUjOjgpOkbxIMR1i4tQZQKD7rfTjlERg8mzG5wjETj5cba+4TG489p80LYpLdzEXTB3DimGzSZl4LZgdxwTq+sN7Bbp8WznsIOohWFgmBaJBF/L0tkIJq0wWibnDvN9WKxh0d4AuGo7kxcc3aC2NUINIdRBkApIeEgLS62CW2CzbvMzusuM7Lf37YxbGGFcSrHiH6DTvpYK5G0g6JdiH+/Jh1IY/G3cqP4RGcMDqTCeH1YoMuZMUM1zqZrfBrzrDK9R1uv71auD+zdr0PgNkjzAfjLaVig5RBbYQEPYMIVB42P0PC1vdh44egKFGheEuFm0ik44ydfy3cSVGdlzeX7oba7V1ywxwK6JPNiTRh2fwBcTQze0QGlx4xhGfCp/GnrQVEMkaLjSvWduqYq7Tf2QmGViVpO+ftd7/lu+v5bnM16QY3t8z+abuGWhMTgeiPf/wjU6dO5ZRTTmmzPCUlherqlhprt9uNxWI5qHXtYbVaSUxMbPNHIukr6CHVia0yiMwRHwYimMwWGDQLBh7Rq2PSHUSBsCLC9fyyLFMikUg6Qhd0si3aC2wnBSK9xCxAy6z430NncWPJbfDPo3q1+5Ok8yzfXY/bHyIlzsKoYcNg6tVgcTBKezFsLfgxZu6+D2Q0w1kid7BYzWCrV3vpPAQFotXFDYBKWlg8oxdHUvBPvBJOehCyxh7cwd0V8Pg4eOnsDjcr08rL4iwGDI3ahLBTOEj0F3rdQWQJNjJe2cba0gbU1y8WOTWlK/Y6ZpXbx8X/WkxtU4BQ6jDCk6+EaVd36AqRHBgJmoOo0Rdku9Zifs7ITNj9g9hgQOefh4dkxGNQYKVfdBmjsuMSs8pG4f4sioj29POYDMDQsJYflDOpzfYFUYFIYa6xlTiRPoKBaXGYjQqOQC2eT+6Fj29r95zBcIQfd4hGS6nFn8OTk+CVc8Hv6exl9nl0B9Fsw0qetjzB65Y/MXNYOqdPyCHRZqLU1cwSnybiVW+G0P4nR3RRd6LSSiDa/u1+93v0yy2AygcJf2XA2ydB1cauXk6/JCY+yFdffZXq6mqcTicAXq+XN998E4DDD2+x3K5cuZLcXPEDMnXqVBYtWsRVV121z3Vz5szZa51EcqihB6w1Y6GKFDIQNc8OfIQTRsCZ7/f6mKyag8iLJrzKNvcSiUTSIfVNIjMuw9hVgUgICX607j3meOb7xvLvwENQEYHmekjI6v4BSw4KvVX6zGHpGAwtYtDkAckcOSSNwrQ4GPJv4XjJHtfxwUadQcncj7nh5SJsjSYxndtcJ0LOO5Fj1VcorveSSBOmsBBpytVUagaeEC3tOlDKXM1k7F6AKeCB4h+hegukt99dVS8vG5EUQnFrL9lJeUCLg6iZFlf2UeZNrA4MweMPkhD2w+6FkD81uj4UjnDFC0vZXeslP8XOH39+LsbESw7qeiT7Rs8gcjcHKa+uJY5mBicpUL5KbNCFMGGb2cjA1Dg21Whdz2o08cHUvqmgokEIRHZfFSiwySPcfFkeTVjKndhm+1ynHUVppwmXwYgZGJweT11FHYnLngDFAMf9ASxxbTZdXezC4w8RRzP3ND2I0JVVkZeUP63T19qXCWgC0XCDaGlfHDeGsXHie3D2pDxe/GEX/1kXYoYtSZSi1mzuUFAOhCKsKxMT1/8Mn8bAjCTOqv+3yIlS1X2Wi60pcbFwWw2jjSVk+3dAjV1+tmrEROpesGAB69atY9WqVaxatYrTTz+d++67j6KiIr7//nu++uorgsEgDz74ICecIEpZzjnnHF5//XXWrl2Lx+PhiSeeiK6bO3cuTz/9NKWlpVRWVvKvf/0ruk4iOdTwaiHVL4RPYo76DzCID8c4fCTYYlPbrjuIvBGtlHM/lm6JRCL5qaM7iFINbrEgrmsOIr8qHpgN4QAqBtxoLxJe2eq+r6GqKp+vq8BMiNsb/gw//D3q9LKajLx89XT+eOYYGHMOTOpciHHa8MOoIYnSgB3/hMth5l0Q6XqHnljh8Ydw+0J4sdF0xbfcarwHPxZc3v138uuIFUX1HP7AN3wwf0nLwk0f7nN7XSAaF685n+MzwSwEoewkOzazAYMC7ll/hhGnsir7PABKzQPF9q62MRRLd9WzvqyRRJuJl6+aTkZi75b8/9TQHUSTSl/ia/8F3Gd+gSGBjeJ3ITGvUy3uWzM8K4EyUvGb4sUx9tFNrDkQptEnft/SVFEiOT6ynomGbThqtLKnnLYCkc1sJEv7eSiLGyUWDjyqzbmrSKbJkgZqBMrX7HXeBVtF7tA4ww6MSiulqZNZPIcCuoNoQrb4Wg3OaxFlfjZN5AJ/ubGKQNq+y8wCoQifri3HGwixucIdFZ38WHjEczyY7OCp6NAR9PVGralArpZNlj8V7MkHd3H9hJi8bebl5bX5f3x8PGlpaaSlpfHoo49y8sknEx8fj9Pp5MUXXwRg/Pjx3HLLLUyZMgWbzcbQoUO5/vrrATjttNN46623GDp0KABz5szh7LM7tpxKJH2V1i0am4MROO95Hv12Nw0lcdEPyt5GzyByGbTMsOZ6iESknVoikUj2gZ5B5E4aARnn7PUysS/2LDEzRALE46VOjcepuIWTRNKn2FjuZletl+mmXeSUfQH1y2DG9Qd1TJvZSFq8hRpPgG3T7mN0TlI3jbZ3iLovrDbiBkxiQ7wbmjw015VBaIPoZpY5qsvHFUHg8GpZFqclODEHXLDxQ9Qjf4XSUCJalxdMj25f6hKOZ0vqADjseQi3lGhaTAaeuWQK/mCYhNGnADeS9dZq2O2lKpLACICmlggLgO+0TnXHjshgwJrHYfBsyJ/+kw+17Sn0DKIdjeLr6zT4SXRpL/15U7r8dR+WmcCn6yrY7JjMuAzzPkXXCq28DFQyFSEQXWb6khHGGpTmOtEsJnPMXvsNTI2jvMHHihlPkOP/BA6/qc25AXZYhjM2UANlK/bKUFqoBVNPMuwhXFX0J4FITIQPSTVDNQzPTY+uG5GVyIR8J6uKXawJ5jEFKNm4hLwRp4iW93mizO+1JUX87oP1nDI2mxmDRAOIqQOTWb67nhJ3hIazHiEpdwSk7ztw/nvtaz3DLIKyyesfDq3uoE9E7esiEMC1117LCSecwKZNmzjqqKOIj29pEfjnP/+Ziy66iNLSUmbOnBnNGVIUhZdeeombb76ZpqYmZs6ciSJv1JJDFD2DCCAUUQkMP4P58xbhw8VA1yK4/1eQOxkufb/XxqQ7iOpV7QE1EgKfq9NdeSQSieSnhu6UqCo8Ew6/tdP76SVmPlrKHqwEqVfjRbmBdBD1OT5dJ8KPz88ogjpgwOHdMoGS47RT4wlQWt98yAlE5Q1aa/kk4RJw2sXPc/zmd2DdQzDuZ3D2M10+7rpS0f1smTqCqxOe4sXai1HKVnLXY8/xgP/PKD4XnPooTLkSaHEQpaRnw7gj9zrezGHpbf6vO0DKg9r7h7e2zfp5mkB1RmYlzPsrLHwMbtssnQc9hN7FrLzZBBZItQRQzHZIGwYZXRcYh2aK7+t99rt4++J9t5rX84cSaMautGTgTA+vFP/IHA0m61773X7icD5ZU87s6cPAMrXNuhFaSPbK0EDG8j2UrWyzvtEXjIYtn5BYDF4odYwg17tpv4HahxL+oHD7mCKaWLvH1/HCaQWsKnZxb9EEspV8atcm8Vb5UZgbd8OVn0PBjGiHxI/XlhOu2cp9preYHoywJcHC654JLI6/nOPz9l0u5vYFWal9rfObtK9t/vR9bv9To08IRHtSWFjYpm19a0aNGsWoUe3fEKZOndruconkUMKrdTF70vwEA5RKAjsScPuEzTTeEBAB0cHmjg7R7egOIm/EIGb9fA1iVk0KRBKJRNIuuoPI6eia81N3EDVh53nbFVx99BA8nyQLgQikg6iPoaoqH68VAtHhZtEuuSvBuR2R67SzpqSBqppqqG4EuxPiM7rl2D1NueYgOsmyCr5fxVhDOktIolEVuT8H2uZ+bWnLfvNKFd61HE1VJJHr6h9GMbjEio9vg6R8GHocpZpAlKvlDe2PTE3QKg5oJZ2tHETlDc1sqnCjKDCjXitrG32mFId6EN0534T4/jmNAZj2c/HnAMh1iuOUujp+jtYFIgtBPgrPYJSyi0EGrRTpzH+Auf0crUkFyUwqaP/nQXcQfefJ41ITewWgL95RRziiMjDFzvDQJgA+NJ3AtWgCUT9x7uslZqaIJrzt0Zn51PHZPP71VjY1DGS3oYAPDLdj1lvWFy2CghlsqhAlo/eZXuDS+i+FolELw4Eig5k1JQ0cP3rfAtGP2td6fEoIs0t3EE3pzss8pDn0f8okkn6GXmI2XClmnGEnbP+OI5u+JE+pIs6gt7nfe9aiJ9EdRP5gRNRTDzkWkC49iUQi2Rd6BlGGybvPVtntYTa1PJp9knguHH4jTocZF1qJr3QQ9Sm2VHrYUd2EzQSZLs0RMGDfzoSuoL/MjlvzZ3hqKqx6pVuO2xuUu8QL9jHBBfDlvUwMrwbApQtEB9ANtbLRR7Xbj00JcN+4ejKo59eBa/gw7Rf8N3I8NWoiFTnHgRqGty6Hqo1RB9FIz4+w5Yv9/v7oDqJdzdo4WwlE87eIf0/PsWDd+J5YOOmyLl+HpPPoJWYeTSBKUHwdbb5f9N+pykYfwXAEAu03XdFLJL3mFG4M3szswCM0qJoolDlaCINdJC/ZTpzFyMqQZoKo2w7Nruh6/efr9AEBrIF6/KqJfzdMRjVaRAfhhqIun7MvoucFGffhIHJYTHxz20zW/v4Ezp02iIdC5xNStImWyvX4Q+FoR7sphi17HX9FZCirS1yw+VP4343tZhjp5WVzMzXhKXWonPRuhRSIJJI+hh5SnaCIhxr7quf5ffhJJilbsUcFot4NRdQdRL5QGH72Clz8zj47hkgkEomkRSCa9sFsuC8Vard3aj+LseXRzGExRf+uVRMIWZ3dPk7JwfGJ5h66sKABxe8Ga+LBt3DX0F0vlZFEscBT3cHWfYuKRvEMk6GKF7FAnGgtXh/WXrIPwEG0tkTsMyu1nku33MDXjnu4/PCBvHfjEdiPupGj/Y9xYsnl7EqYBAEPkbcup8Et9hmw8iF49dx229a3RheINnscoo15/vRoWyo9/+jq5OUQbBIvld0kBkraRy8x86ji+2JXD85BnxZvxWI04FQbMTw0CO7Pg/DeOUR6BtH0QbpooLA2ogk7e5SGdRZFURiWlUA9iTQ58sASD3U7AGjyh3h/VSkAJyaJYPQNaiFVfhOuI++FuS+A/dAXMFRVjWYQBcZeCMfdB3l7VwBZTUbirCZG5yTyWWQajzvvEisqN7C9qolwRCXRZmSwsRKAHwyTo/uujAxlbWkD6o//gJUvRcPAd9Y08cCnm9hS6WbH5tUYiDC4cBBMvBhGn9XDV35o0SdLzCSSnyqqqtKkZRAlIGY1go5MjP4G4hUfdjS13dy7AlEbB5FEIpFIOkRVVeqbgpgIYQxoTolOlqGYWrVIt1vEvddmNnJ/6EJGnvM4R++RmSKJHf5QmLeWiZe58+K0l8aCGWAwdsvxczS3Q7FfKy9squKrDZUs3FbDnUckYi+aB+POB2NsGlh0hF5i5gyKUOdIvBCIakOaW8DXdQeRXl42I8kFHkjIHcHvTxedjm49dhhLd9azZFcdc6t/zifWuwmqqVjUIKrZhrFRtNTeX9erzCQxvu1NVkJXfY1JE2yD4QgLtQ5Th7s+EhtPvlyGU/cwevdevcTM4auABwZAyiC4+usul1wZDAo5Thu7a+NRAh7hNvNUQFLbBkp6idmRA+JYuKWSkGqgBi0H7Md/iu/9ATA8M4GVRS7+O/IZrjvlsOi94u3lJbh9IQrT4hgx42TIdPDZ10VQA0syzuWEDsqlDiVCEZWI1pxNGX4K7KcEW89e+6w+m18D1Gxmc5n4PTwsI4i1ykcYA2WH/Q5WXEYkfRSeHU4C3iDu+EISmQc1W6hs9HHRcz9S1tBMzg+/5b/GL/jBMorREz6HxON78IoPTaSDSCLpQzQHw6gqGAkTr9lom6yZAMTRjM2vhSXG9e4Lgu4g0lV/QNRCSyQSiWQvmgJhAuEIyXi0JYrIb+sErUvMHJpAZDcbAIXmYOdL1SQ9z1vLSihr8JGZaGXQ9FMBBYZ238uGXg6z06fl4Xgq+d0H63nxh10UvXIj/O8G+OT2bjtfd1Lu8qEQweEXApHiFC/gVQFtgsvfdQeRHlA91iZeEEkZHF1nNhp49efT+ddlUxg2eBBnB/7ArPLraSCe4UkRFL2kzZnf4TnS4qyYDAoRFao9LR3PvtpQidsf4ijHbtHm3GiB8Rd0+RokXSPOYsKgQL0az2fhqYRThogmKU01B5zHk5tsR8WA16aJLq7ivbbRS8yOLfsnm62XcqPxPRYpk8TK5voDOi+IVvcAK+ptUXEoElF54fudAFxxxEAMzlyYeBG1A04GYGN518XUvoqePwRgNe//+zc0Mx6L0cBWXxIRSyJYEygvEq6rGYmiXNSYMpC5x82EW9ZguPR9xuWKz9odqhClQ1WbufLFpZQ3eLnf+iKXGr8A4HDDBpI+uBJC/nbO/NNGCkQSSV/B78b8/DG8bP4zKYonuthlEmJQktGP0SsetIjv3ZkEu1l8iHn8ITFzcn8BfPJrAO58ew3H/m0ejb5gr45JIpFI+ir1WkB1llnkJGBP7rSrZF8lZgA+KRD1GfyhME9/uw2A62YOxjJkJlz0Nky+otvOMTAtDoMCOzSBKNhYGQ3XHV73ndho+QvREqi+RHlDM2k0YIgEQTFgSc4FoCKgdefzNbaZaAqGI/v9+dYdRAWUiQWpg9usNxkNzBmZyfOXTUFNKiAQFu6ecfGaGBWXDuaOw6oNBoWMBOEi0kWCJl+QP360AYAzhlkhqQDGzIW41A6PJTl4DAaFBJvIYLvHcifGmXeIFckDDviYOUniZ8Bl1gLfG/YWiCobhWiQFKrFSAQPdtalngDn/geu/vKAzz1cC6pesbuelUX1oKp8s6mKXbVeEm0mzpmYG912VLYoLV2xqwZ2fQ/f/bVP/q53BX+r33FL5RooWQ5+9z63NxsNmqim8M3xn8MdO1lUL76Go21ayW3qEPG3LRFMFiYPEG7dZU3i+1tXtJ71ZY1cZ/+GC5QvUVF423Y2EcUI3ppomZ+kBSkQSSR9gG1VbmqqyjFXrWWKYQvJZlFm5lPN0c41yaaAsEbnTYXUQb06vvwUkRlQVOsVLzn+BvBUUdHg441lxWyr8rB814HPqEgkEkl/Qs8fyrdpgapdCL/U29xDi4PIZjYyRClh+oIr4PWLum+gkgPmzaXF5DSuYky8h59N08qWhh4Lxu5Lb4i3mhiTm0SNKmbEI24xSeSgVVDvbVv7XJlTkz9Eoy9EjqK5nhOySYwTL+VlfjvM+g2c9FdQhUDkD4U55qHvOP3vC/cpElU1+qhy+1EUSG7WXuj1F8M9cFhM/EErPbMQ5J5qTVToZH6j3sks68vr4c85fPXW05Q1+MhLtnPK2ZfDzSvhxL906liSg0cvMxuY6gDXbrHQeeACUTTbS9Hc+HsIRJGIGi0xcwSEW61STWZQRoIIp95PmWJHjM1LIjPRSl2Tjx3PXUzpfcP59NXHALhiUhJxLxwDi5+BcIjZI4TAsXR7JerL58B3f4GqDQd87r5AICx+5y1GA4b3robnZ7cbIt2a0TlCKFtZawBFYXOFEJQGoHWV2+M+MEkTiL6pcQKQ7CvFRIhfZIivnTL7/5h71wsYLn4banfA8he749L6FTKDSCKJMTUePyc9voBjneX8A7ApQUaYKqkik8agkfqwmG1LMvrh6NvFn15mYJqYvaxtCtBkTiUOoKmGz9dXRLfZWdPErF4fmUQikfQ9ajUHUY6lGYJ0KVzUZGynxMxixESErNrF0JzWrWOVdI2P15Tz/MIdbC0q42vrE6SofswVhZA/rUfON2NQKu+UCIHIEnBhJMy5+W6ohirVyc4qI9Pje+TUB4yePzTY4hILEnNx2kXWSG2zCroLRKOkvjnqjHpp0W5+fvQgGrxBdtR4mKi1DF9XJlxAg9PjMdZrge97OIhac+yoTE4YnckP63diD2uu7OzxnRq/HlTtC4Qg2MSazduAIdx3xuhoLphsbd97iKDqZgpT46BatH8/GAeRXrpZFEllMuxVYlbbFCAUUVEUsDSLEOShgwcz58jCAz6nToLNzPs3HMHfvtiCa3UCuWolDxr/wTBbA5fXV0LlOljxX5j2CwamxTGtMIUlO+vYlTiFwroFsOUz0UXtEEXPMrWYDC2lXfvpzDw6NwmWFrO+rJFaj58qt9gvOcEB8Zkij6oVk7R7xqIaM6E4B+aQl4nx9SSe908o/hEKjxIbDp4Nd2zvkxlusUY6iCSSGFNc5yUYVnHXt3QnOU1ZwN35r3Bs4GFqNTt2oiF2NbLxVhOZieIGXhbSwzKr+Vjr3gKwq7YpFkOTSCSSPkedRwhE2RathXKXHEQtj2b2VhlEdarW5r65/sDKDHwNULyk6/tJori8AW5+fSUri1z80vQOmYoLY2I2ZI3rsXPOGJRCPQn8z3QSr9ovwESYs3NdAGyK5HP/p5tQA01QvXe751ihl2ZtTZwB1yyAkx/EqYXRupr3Lkevdrc83zz93TY2V7g5+YkFPPzPZ9i6+BMA1pWKHJbpmbRkwKR07KZ+4oKJ/P3KYwjcsEq0o99DmNoXmZpAVIdwLjhp5Pih8cwOzIewLKfvbfRW97/b8TNY945Y2A0Oou1+p1jQUNJmve4eSouzoLjFROivzp7J+HznAZ+zNdlJdh46dzxzbnmOysFzMSoq14RewbrzK7HB0bdHXYHnTxGZWe+4x4h1Wz7vljHECj2DyGoyQEhzQu7H2ac7iGpKd6C8fiFvW37PgFQHlhPug9u2wNSr22yfnmBlQKoDVVXYFhE5RKfnNWNILYQJF7QNJJfiULtIB5FEEmP0h6VkWmpwB6ql0ReDBZGx/Bi4HmfGcI5W1ZhZyQvT4qhs9LOz2c5QINJUzdLyuuj6nTVSIJJIJBKAOs1B5I/Pg9xzIHtCp/e1tC4x0/LfHBYTLjRxXg0Lscfu7NqgPrkD1rwOpz4GU7ovJ+enxOqSBsIRlYFJJq4MfwchMJz8YI92Fp0yMAUUA7d4LkFRQAWGIMpstioDMZQsIfjwRSLj59qFfaLcrKxBuIGSk5MhW4hnTq941vEGwgQqt2Dx1UL6cHCkUNMqDLreG+S0JxdiDXt42PoM2Z/WQeVlbHOL0srBWU4Y/hh4KsES1+E4rCYjM4elA+lw+hOdHn+WVmJWFRaibCoNnJ++G969CZY+B1d90eljSQ6ecXlOftxRh9nmQG/m2x0OomXeTNRhc1DyprRZrwucgxNCUK+JGD2Q/TkwPQEuehY+SYKd82HIHBh9NhRMj25z8thsfv/Bet5xj+I2G0Lkb6o9ZPOv9GY31jYOoo7vnyOzEjEosNtjJKXkK1IMMKl1r5527nmTC5LZXevluubrcKlxPH74sd11CT8JpINIIokxDdpDU5LSIrDkRUqxa51sVjRn8n7kSJriC+BPmfDYWIj0flBpYZp4OdniETdyg78RixqIlkBIB5FEIpEI9BKz6ozDYe6/4YibO72vuZ2QapvZSAAzAYMWsOut7dqAVFWIQwAf3QqhQNf2lwCwutgFwLkZxSihZlHeMKRnXzwSbWbGaF15VBVykmzEjTkVDr+JhNEnsE3NIRzwitKUXQt6dCydRX/Bzk5sefFLsJmi73HKuz+HF06MOtp0B1FKnHBMB8IRIih8HZ4odljxH0YUvwVAYW62EDiPuavHxq+XmJUGxXNPquJmtLFUrNyjHbqk57n7pBGs/O1x2ONadYJMHnjAx8tOsqMo8GNwCLVnvbbXz1KF5iAa5tCea23OnhOBDUY49W9w0zKRy9VKHALhIj1tQg7lpFJiHQyosO3AQ7JjTdRBZDZ22kFktxgZnB6PGwclqiixPjyhssN99ByinWo2IVsKh1e9Bj/8HRpKD/IKfhpIgUgiiTEuLcy0tYPIrjbz263ncJPx3WitbZahAcJ+8Hs63Q2nOxmcLmbqNtYZwCAsmSm4uUAL5yytbybQqn2lRCKR/FSpaxL37VTthbcrtF9iJv5uMgqrfZfbLAeaYNiJLf9f9UqXx/VTxRsIEY6o4Kli025RVn20YbVYOXhOrzh2ZgwSboECpZKbnD/AoFlw/J848YyfYXAk83ZIy9T48Z89PpbOUK45iE5xvwXfPw4NpRgMipYlA0GzVi6ptZ7XHUTnjnKwOP523ov7C9cfP47/C13Fq3EXAzDcuxwQba97Gr3EbHWdGG+6oZEMn2hDTvrIHj+/pC2KopAcZwGr9nNz9vOQcOCOHovJEO1UV1rfvNd6vcQsOcEOY86B4Scd8Lm6g59NFWVmH3jHigVbPovhaA4O/T3BblQhrE1UdCI8/vYThnPEkFSq7SKQ+ty118Dvk+DDW9vdXu9kBjBneDqmxU/DF7+B+p0HdwE/EaRAJJHEGL3ELIKBej1jAkgM1pCj1BIX8XCsYTlHNX4sVhzEh+LBUKgFVe+o9RIccBTfhcdjVCJcdthA4ixGIioU1XljMjaJRCLpS+glZhmWIIRDXdq3vS5mdot4XGsyaAKRt26v/TrCZ7Dzh4R7ecr6c7FgwSPSRdQJ1pU2MO73X/DE21+hPj6em4tuxkiYIY2LxQZD5vTKOGYMSsFMiE8td3FB5cNQKbr+JNrMXDS9gBfDJ4gNN3/SJ1o2lzf4SMTDkUVPw5f3Rp0Ceg6Rz6iVhvlE8LTuIBpodpEZKmWitYJjR2UD8JFHCDKTlc3EWRRytr0OJcu6/HvVFfQSswotczHb5MFQo4UjZ4zosfNK9oMuEAX23Ra9s+hlZmWuZjHxGmzpDKgLROaMYcIBelZshddxeU5mDErhy5DmqGs11kMNvcQsztSqEmI/IdUAx4/O4pWrZzDxzFvA0kok9ta0u/2wzATirSYSaeIu91/AXQ4GE+RMOqjx/1SQApFEEmNcWonZU+Ezmeh/hi/DLTcvNw7ylWqetzzCtCphryY+IxbDZFC6uCHvqmnio3FPcnnwTuIzB1GQ6mBAalx0nUQikfzU0UvMjlt5A/wxFTZ93Ol923UQaaVmDUan6J4U7ry4s73aw5lPfc8L3+/iiYYj8FrTRVvntW91+hg/VT5ZW04oouJf+z5K0MsIdnKl6QtsDTsARXTB6QWmDEwhrJj4IaJ1L/rqD1GRcEBqHNvVXNbYpgAqLP1Xr4ypIyoafMwyrMKghiB9RLTbWJLWyazZoL3gaQJRjRbqnmPQnHGJ2RSmxWEyKCzx5xM02HAqTcx1bsPw8S/hX8dBsOcmpPQSswqSWRkZQn3SqJYQcOkgih1mh/jb7znoQ+VoAtG4by6F+3Nh+9fRdSWaqygjsYfKyg6AG2YNYZU6mDsi11N72guxHs4Bo3cxM5tMMOd3MPOuTjmIoow4GW5dK/ZLHwkTLm53M6NB4b4zRnPejCFklWkleQnZYHEc7CX8JJACkUQSYxr26OixQ82O/tut2mliD2U9PrM3hrUXecl2TAaF5mCY1xaLlqCzRgixqjAtjoFKOWmLH4Dv/hqT8UkkEklfQXcQ2ULiBRhrYqf3bS+DSC8xezDtL3DnLhh5aqeOVe32c8GzP9JYsRNQ8WNhZeZc0e47tHdphaQty3YJwWImK6LLrrR8iXLbFrjsgy51pzsYEm1m7jtjDIahmmNp+9fwye1ASznUJ4aZYl3Jsl4Z075QVZUyVzMnGLVxjGj5WdUFoialfQdRBlq2VmIuFpOBwrQ4QpjYYBSunUtC74r1maPB1vnfqa5itxhJtJkoVjM5K3Af1dPuFL8vRutBZd9IDpKNH4q/lzx70IfSO5k1qJpgoHUyW767nh+2i5/DCenEJPOzPY4cksaY3GTeDBzJi4uKYj2cA0bPIDKY7XDUr2DW3WDsYs8sR4rY74YfYfiJ+9zs7El5/N+Zk9ruJ+kUUiCSSGKMnkGkMz/S0i7XjYMm1d52hxg5iMxGAwWp4oN0yS4xczl7uAiLmxRXxaeWu5mw+9+w/IUDa8EskUgk/QS9zb3FrzkiutLm3tRaIGqbQdQc7PzLSjii8ss3VtHkdrHAdivr424gkSY+Sb4Irpm/V2tgSVv8oTCrSlyYCJGjiDKGRtVBdqRCvKgWHt2r47l4xgDmnHphywKti1NmophE2ujTuho1lvXquPZkfVkjfp+XY/ScplZiptMhMrnc6E6QthlEyWFNIEoQE2XDMkVJ0VveibwZmkmyopUWFRzek5cAtJSZAYyziuwp0oZ2/WVW0n1c+IZwjZx98AJRnuYgKlW13xtXEeGIyu8+WAfABRPTGfbmbPhjepccoD2FoijcMEs48V78YRcuVz18eic0tV9i1Vdp08Wst9BdRsf+vvfOeYgjBSKJJMboGUTPmP/Gy+Y/U6GmUJw8AwC36sDDHtbLHmi12VkGaTlE1xk/YK3tKiZvfhSAMWzHrmhCl7scXLtjNUSJRCKJKf5QGLc/hEIEg98lFto7LxC1bnNvj7a5F3/7uiAQPfXtNhZuq2GaeSdGIqhmO43EUeuR2UOdYU1JA4FQBLvNxqzgo8zxP8TjobNpsueALWn/B+gJUga1/DtH5JFkJohnhBXeDIJnPQ9zY1ti9tGaco40rMWh+CExD7InRNcl2bVSSd214WtAVdWoQJQQqBbLE3OAlkDql8PHcUfoGixm4UCiYEaPX4fuzMp12kkunAgnPwzTr+3x80o6YNBM4RoZcPACoe4g2hHQ7s0NJby6pIh1pY0k2kz8JncFNFWJn8Whxx/0+bqD40dlMSIrAbcvROV/LoPF/4R178R6WF1CD6mONwagbBXUbO35k578ENy0otdKgvsDUiCSSGKM3uZ+imEzRxrXYySCLSKyfBpx0IyViKq9MDgHtH1A7GX0HKIwCgk0Y/CKh7kBge1tNyxa3NtDk0gkkj5BfZO4pycbmlFUrbNjFxxEJsPeDiKbJhRNbZoH/zkdFvytw2MEwxGe+nYbALeNEmU8jWlCUNBfxiUds2SncMoeMTiNI4dmsF3N5aXwcZReshBGnxm7gV27EE57PFq65XSYsRgNuHFQWXAK5E+L2dBUVeXjtWWcYNDLy05p0+VtoJZXOK8hE464FaZfR0NzkGBYuI7tzRViwz0cRAAJeIl3aUHR3SAQ7A89h+gZ4wPw1HRIKYRJl/T4eSW9w2DteXaVW/yMqa5invhaiBW3HTuY+GVPiQ0PvxmM5piMcU8MBoU7TxTllm/WDBQLV78euwEdAHqJWUG4FJ6dCf89o+dPanFEc9AknUMKRBJJjHE1B1GI4ESE7rnUeFSzg4hiwoMdUGjSXUSXvCcC2mKE3smsRtVmT5uEQJTiFg9t9aoWPFm0qNfH1mvsXgSf/wbWvxfrkUgkkj5IrdbifoBDE2LMcZ3q0qLTtsRMyyDShKLEYA3snAeV6zo8Ro3Hjz8UwWRQGBXeDEAwZ6pY6S6HJybBQ0NkOXAHLN1Vh0KEaQMSOWdSLgBmi43BWTHOscgaC5MvjwoviqKQoZWZVTbGVvxbW9pAcV0zg4yVqDYnjDytzfqTxwrh5z9leZROvQsKpkfzh5LsZgyOZOGSThJf72GtWtofbd2Kgvbz2gvdXGeNyCDeaiI7zigCsQ+xUh5JxxSkOMhLtlMUFiVmofoiqt1+EqwmLoxbCq4iiEvvc6LgMcPTmV6YwvvBGYQxQtmK3nHhdBO6QBStOujCZ6Ok95ACkUQSQyIRFZc3QALNGBXx4NNAHK7Mw/CkT2RlZAgAXj2oOnDwnRsOBr3ErI5WApGqYq4WLyv/DWs23OJ+7CAq+gEW/b0lLFEikUhaoQdUF9i0VsRdDMbU29wrCtjM4jFNLzWrD2uTBb7GDo+hCwUZCVYUrSW6KX8yAEVNJqjbLu7f/oNvF90fCUdUlu+q50LjN1z6/RxOLXmUS2YM4HenjcZoUPZ/gF5Gd7sEdiyEJc9B5YaYjOPjNSKr54Xh/0C5azcMPLLN+hynnemF4vfhg1UiK6lac7SlxVtES/HbNkdLQQakxkV/H862LRcH6YX8IRBi1prfHU9quiZGbf2izwQWSw4eRVE4amg6JWo6AObmahJp4uhh6ZhWaF3CZlwHZnsHR+l9FEXhzpNGUEsS88NjxcI1b8R2UF3Ar5VJO4whsaArHcwkvYYUiCSSGOIJhIio4FSE8ONVrfixUDnhRnae9jY+TRi6P3gh7pOeFPX8MWRiQTLHjcpkzhSt1W5TDbiKUHwNBDHxWmiWWF61EZrrYzfQHmB7tYcvN1S25CmUrYrlcCQSSR9FF4gsjkQYMxeGndCl/S3GFlFI0VwieqlZXUh7mPbvTyAS4lRegiIcQ0BCrmjPXeU3oVo0Z4ansktj6+80+oJ8uracd5YXc0noHf5s/jcmfwNGs5U/njmG86bmx3qI7aLn5WRvfBE+uQ12Lej1MaiqykeaQHSq5hRqXV6mc+ZE4Q76fOU22Pol5s0fAZCesLeTwGw0REuBvh10Gxx3H5z3354YfrsYDIpwD8Ehl/Ui2T9HDU2jgXgWmmbwP9vpWAhx7JB4KNXEyDFzYzvAfTCpIJmCFAfvhjUBds0bEIn06DmbA2HcvqBwK2354oCP0+Ig0jo4SwdRn0RG8UskMUTPH8owiQeQesSDUJzVFH0hAFgSGUH8F7+GxY/BTcvbfejqDSwmA89dOgUasmENYga6fBUApZaBVPhScTsKSFDdULcTcpNjMs6e4ObXVrKxzMWmtLuwgJiB9zXELqxUIpH0SfQQ6GbnUJh7fpf3N2kCUevPAD2DqCZsAyP7dRBVaQLRKLvI0cGaRIIzDYvRQCAcIRSXiTngEQJR2tAuj7G/8tBnm3npx92cYVjI4xZtVn7G9UKY6MPoJWbVhlQGAjSW9voYiuq8lLqasZgMHDN8391WTx6Tze/+t57U6sXwyiMMdQwA7ictvv0XxdE5SWyqcDOsIBsOu6WHRt8BrUvLDMZ9byc55Dh8cCoGBS723BxdNiuxFCIhSMqPdgrsi+Q67XxZN5mgKQ6zq0iUmuVN6ZFzhSMqpz65gCZ/mO8dv8Lo2gXnv9KmQ2Fn0QUimyIdRH0Z6SCSSGKISxOI8qzNADRoGT5xFlP0hQAgx9SAEg5AOBAzcagNcelgiRcfol//EayJlFlFOdxn016A23dA7qQYD7J72V3rJQU3Fk9Jy8LyNbEbkEQi6TsEvFC9BWq3Rx1EqXGWAzrU0Ix4BqQ6OG5US86KnkHkVtu2B98XeolZQqITDr8JJl2CYjCQGi/G5LemiQ3dFQc0xv7K0l1CUDvBKsqmdw2+CE68v88LA7qDqDyilTPGoNW9/jN3SvwW7P+aCR/f1u52SQ4zxwxPZ0lkJBEMOL27yaSOScomeGIivHtNm+3vOHE4fzlrLOdOjpF76whNlOqjbhLJgeN0WBib54z+f3xeEs6Rs+CX6+Gc2HYD3B85Tjs+rJQnaGVmtds73uEg2FnjYXt1E8HGSiEOAfzwxAEdq0Ug0h1EUiDqi0gHkUQSQ1zN4kXCaYWwKZnaJtFNIc5qbCMQzbGshwgQaIrFMPfGZBFdVJY+Dxe+AdZE/vf6Iqiup96QDIb+pT17AyE8/hC5SkPbFeWroPCo/e7v9gWp8QSiId8SiaSfsezf8MVvYOy51CpiNjrDpkI4BMauPWrFWU18d9sx0fIyaMkgcqPlYew3g0g4iGxpA2HWn6LLU+MtlDf4aLKkCr+qp6pLY+vPBEIRtleLcu/jUiqhFgZO74UOO91ApuYg2h1yigUxEIj0sOkhlnqoXAsJmfvc9owJuXyxoZIthkGMiGzjMMMG8pVsqNsBibltts1MtHHh9IIeHXuHjDwNrl8suphJ+h1HD01jdbELKwEuySqCYDMk5Yk/fZhcpxBWXs6+h3uumyo6dfUQq4vFs+9Ew7aWhcWLhSjVxe5g/pDIIJICUd+mf73FSSSHGLqDaGPikURu38H1xt9iMRlIdljalBdcF9HaWDbXxWKY7TN2Llz+iSixUhQMVuF+8gV7tg46FtS4NUeAssdLWSdziG55fRWzH/mOrzZoeR+122H1G7Dju+4bpEQiiR16VyV3RbTE7NiSx+GPqTD/4S4fTtnDKWo0KFhMBtyqA1UxiLbLHWROVLpbQqpbo5fxNBg1p4lHOoh0tla5CYZVMmxhTHVaV6CscbEdVCfJTBAvWdt8WslzDErMqt1ClMw2axNZjrR9bnv0sDTMRoXvAqJl9+GG9WSg5RYm5vToOLuMokDGCJmV0k85coj4Of3Ccgdz110HxUtiPKLOkeMUkwVbmuxgcdDoC/Lt5ioike7vTLmmxAXA2kghdwevalmx5LkuH0t3EDUmDoOjfg2jTu+OIUq6GSkQSSQxxNUsBCKnw4zZaOC1nx/Gaz+fTpzVhM3Uty3tQBunkO54yqv8Fl4+54Beivoq1R7x4JvGHg6i+l2d2n9lUT2qCq+++w7ummLRDeW9X8CyF7p5pBKJpDdx+4Ks+u591AWPiAWNZdESs8SI1iHMEr+PvbuG3WyklkS2X1sEd+7s0KmpZxANVEvAXRltZ58aJ15yy015InA/bt9ZMT81NpaL79fkDFAKDoOUwb3STr07yEwSAtFGzYVMY1n0e95b6N3IMo3az33cvgWiBJuZGYNSWRQRDS9mGVeSFtRcTwnZPTpOiaQ1kwYkM3lAMiVxWvOV/54Oy1+M6Zg6Q26yEIjKXCKi4uHPN3PFC0t56cfdB3VcVVWhsRz8LV2TV5eIZ99wfDavhefwTMFDYkXZyi7fZ/zaJLInbTzMuRcmXHhQ45X0DFIgkkhiSINXKzGzi1yIMblJTB4gZnYNBiXa4vh/CVrQ6cw7e3+QnUQXiKy+Stj2VTS8uj9QrTmI0jQHUW3esXDrWrj6q/3u6/YFqfcGMRDh6eC9JPx9jLAwg8z/kEgOcX75xipWf/UySpXWVtxdQZ32ouwIa4KyI7VbziXKzBR8of27NPUSs3E/3ASPDIMd3wKQliA+a+YnnQHXzIPDb+yWsfUHNpaL+3tm3mC44pOYNoToKnoG0U5/AiqKyCv01vbqGPQSsxQ0p20HAhHA7BEZfB8ZTYWaTLrSSO52zSnd1xxEkn6N2WjgnesO54g5rZwsO+fHbkCdRHcQReqLUf93E0etvxeAd1ceuHtw0fZaxv3+C9a+eCvqI8Nh1WsEQhE2aPfG/ztFdMJ8dEcu7gs/hCs/6/I9MhAWn19Wk5Qg+jLyuyORxBC9xOz0un/Bf06HzZ+2Wa/nTnyW/nO47geYeVevj7Gz6I6nJlWzYQe8MRxN96LPjKZpGUSlaho4Czr1wVhcJ8SgQmMtNiWIXzWzxTpGrNTaT0skkkOP3bVNfLWxisMMG1oWBpvwNYn7hC3oEssc3dPNUS879gbCHW7nD4Wp9wZRiGBxF4uFyQMBSNMcRDXaPU3Sgi4QjcpOFAsOEXEIIN5qIs5iJIiJqpOfhyu/AGtCr46hRiutTFJdYkFceofbHzsykxAmXgod13aFdBBJYsGAI1r+nTc1duPoJDlJQiDyBYMoK//L0f75KESwliwi9NAIWPVql4/5z3nbwd/IkNpvUAIeAsmD2FLRyLGRHxhrq+GM4CecnFGHLwSvluce0D3SHxSfXwmhehG30Fzf5WNIeh4pEEkkMUQvMcvzbYGd88DbNmPIYRHhpvF2C2SO7tPhz3aLGJs3ogtEfSRQuxvQZ0YVBRpVBzubOx8GWFwvhLJjUsX3druaw6IaLZTPXdHrZQASiaR7eGVxEWk0MMzQdsbW7hfBzya/S1uQ0i3n012aOYt+JyYUyle3u12V1k0q19SIEvKBYhQtm2lxEOk5SYcMFWvhiUmw5q0eObyqqi0CUbq5R87R00RdRGmzoGB6r2fm6J+T8SHdOdexgyg/xcGwzHheCc/hFP+fUXXn0B4h1RJJr5A2DAxaQ4HBs2M7lk5gtxhJibNQoaagomBVgqTRyBnGHzA1lcNHv4SarZ0+XpmrmflbqznF+CN2JcDWSC63zDeS+OGVPG15gr+bH0P55DbutbwCwH8X7SYUjohGDOFQp8+jZxAN2/ZveHISLPhb1y5c0iv03bdNieQngO4gigtrNfv2tjPNeolZgq3vP7DqLy+NukAU7H8C0bz86xnnf56/ek6Bde/AaxfC0o5boRbXCYFojEW4hbaquWxp0gSmsJ+/vPMDy3bWwDd/gs2f9dxFSCSSbsMXDPPmsmJmaO6hnaZBkDYcgAzFhaKAwafNjDq6RyDSW90nVK8QEwqN7TsQq7Sw4PFx2vmT8kSoNS0ZRF53HTw+Af6SC+Fgt4yvJ9hW5eGe99binfc41G0X+W09QGWjn3pvEKshzOiXx4t2657qHjlXT5GhdTLTywt7m+hEij1RPMvsx0EEMGdkJi4SKLMNRUnKF+6hROkgksQARYEblsDVX0P68FiPplPkOG2EMNFgEmJsjlLDSIOWQRTywfvXdVq8eXt5CaoKVzoWAvCOegyfrq/klXpRVjYguAOAtBFHkBJnodTVTPFrt8JDg2D7N50esy4QmVRtksJs7/S+kt5DCkQSSQxp0Nrc26Mzbm1fJHQHUYKta22SY4FeYuaJiBnq/lRippdjzBqegaJAWaOfpvKtsPnj/WYt6QLREITLYGskl10NoWguybzla5j3wX9h/kPw2vk9dxESiaTb+GhNOS5vkMONGwH4MTIKJl9O9ZRfU6amkm1XhXsHus1BpJcc+41a6LW//Vb3lZqDaIRVy6Bp1Z47NV7cn4s9BnAVQcADTX1XCPnnvO28uriIkgrhyiJ3co+cR3cPHZNcJ75vTbX7zdDpa+gOolDZWtFdaNv+M/K6i0hEjX5Oes5/F+7cBXn7/16dMjYbo0FhZE4SXPUF/HqTzCCSxI7UwZA3Jdaj6DS5Wg7RrpD4jDkpL8hwRZQVqwYLlCyFxf/Y73EiEZU3lxUzWCllWHATKEZSDrsYgGcaD2NBeEx0W9OAGVw4rQCAraU14GuALZ2f3NTb3Jt1gUh2B+yTSIFIIokhuoPIEtQEoj0cRPoLwSEhEGmz2+6oQNT/HEQD0+IYnC5ezkqbtS5zrTo9tEdxvcggygmKWZ2taq7IJdJyFjKVeoyNu1p28DXseQiJRNLHeHOZeAifmSCE3/m+wfinXsPWEdezW80iPc4AY+bCkGO7LQtGdxD5jNrx9rhX+IJhQuFI1EEy2FQjVmj5QwDpWpv7Wm8INV7rYNaHw/LXlYprdHq2iQUZI3rkPHoI61EJWietrLGHVAYRQJYmEDlL58Ent8Gatyiu81KqdTnqSVzNQUKRtp3yOsOY3CQ+uulInrhgYk8NTSLpt+hB1UVhIRBNTajji6S5fBaeypcj/gCH3wzOAfs9zo87aimpb+Yki1a2PGQOlx8/g+GZCYDCPaGriJgdYI6DvClcPGMAJoPCqw2jxPZbPu90XEIg6iDScvBMts5fsKTXkAKRRBJDXM2iu5UpoM0E7zHTnGgXZQEpcZbeHlqXsWkdCRpCWjmcuv9OO4cKQiBSOeK7n/FY8I8k00hNQHsI9rs73LeozguoOJuEPXebmkuZq5nwnN/zeOafWRspxOJvFdLXhZrxXsFVDJ//RrgNJBIJAFsr3YBKmkm8fG9W8ylz+ajVWtxb45Nh7r/g4ne6TWjQJwyajXFiQSuBaFdNE2N//zl3v7s26iDKpVKsbCUQJWufJREVQg5NIPJUdcv4uht/KMy2Kg9WAi0t0Ks2QrOr28+lC0STlC1iQfa4bj9HT5OhCUTFYScAoYYSTvv7Qs566vvoS1lPoU+iOB1mLF3sTjQyO5G0eOkikEi6iu4gKlOF2zHb7KFu2u1cG/wlb/umwfF/hFGnd3QIAD5ZJ8qVj0jTnP9ZY7GYDDw4dxxmo4I1fTDKNfNF5157MllJNk4am82iyGgCihUaS0ROXCeIlphFpIOoL9P3bQkSST9FVVUavEESaUJBU97tzjbb3DxnCIPS4zh+dFbvD7CL6BlEOyJZcG99nw7U7gqqqlLt8ROHj/jqlYwBfFyHW9VmPToQiFRVpaTei4kw9UffR4p3J2ULsgiFVSoyjuR/XjP1NLFDbZW5UL25b1mc5z0AK1+G2m1w4RuxHo1EEnOaA6JLGCj4rl3GRf/4jF0+KK2qo6F4E8OUYrKTur9MJioQKZpA1KrEbGVxPcGwyrsrSzl8sChfLc85jvHDh0LB4dHtzEYDyQ4z9d4gfmsaZgBP33QQba30EIqoDFfKMOifkZ/dBVnjYOARHe/cilqPnwc+3cSlhW7GDs5rI5gBbKpo5MsNlYxQihhR8aFYOGRON11F75GXLF4WN3iEwyxUVxx1KW+tbGR0rrPHzq0LRDPsJfCPI0RTjbOf7bHzSSSSFgdRiSYQpRg8musHtlZ17G5vza4aIQx5Rv0MnDMhcywA4/OdfPWrmcRZTSh7iLgXTy/gw9VlLIyMZbayDNa80SlhXe9iZopIB1FfRgpEEkmMaA6GCYQjZCg+VHsqihqKBonqjMtzMi7PGZsBdhG9/MEfVvuNOATQ6AsRCEXIUsTLWMBgoxkbrrDerW3fH8LVHj++YASDYiLx8KswmAxkrP2W3bVedtc0RfOJ3g7P5OfjzAwPbo5mE/UZ9JepQyyPQyLpKcoahGsozmIk0W4iMTWLSHUV6pbPuXjVrxlhHsaW1PEih83S+Y6H+0O/xzYp2jF9LQKR3pUsHFFZsFWUljUPPgkm5u11nNR4K/XeIB5LKvHQZx1EG8rE9Q3TMjWi1O/qkkD02FdbeWt5CRdsfhBCq+D0v8OkSwBRlnfr66sIhUI8lfgihkAIRpwqSgMPMcbmJgGwoC4RLGBxF2MhiJEwQ18cC5nD4dIPuvVnUkfPHxpsbYTKdXs9y0gkku5HF4jeCR/Ft7Zj+f6oPEaowt26u7YJX10pNk+JCN3eYwK6NUXas2hi4RQY1PYZdEBqXLv7TCtMYUhGPC/XHMNsyzJY/AxMvhzShnY4Zt1BZIg6iKRA1Bc5oLe4TZs2cc4556DK9swSyQGjz+xVGjLgju1wx67YDugg0UOqmwPhGI+ke9EffAssIlPJaxZlgFGBaB9BsdASUJ2dZI/a7vOTxcP5uo0bOFWdz4mGJQB8kXY5XPw2DD+x26/hoLCKl47WL6MSyU+ZcpfI+Ml22lEUhXzNubE7mAhAJvWcsuNPcH+e6HbYTegCkQcHKAaItHQf00vbWpOZ0P6Dd5oWVN1g0Eqa+2gG0foyUUI3zFDSdkX9rk4fo9bj563lxWRQz4Sglq+RMQrKxb8f+WIzmyrczHbsYFBgM1gT4eSHu2P4vU52ko20eCvlESdhcwIGIgxUKhiklGMJNkLdjh4Rh6DFQZRr0UpU9tPiXiKRHDw5TnGPb8bGgKw0eOsy0p6bwGzbFiIq8NJZ8O/joXTZPo8RCkco03LK8lM6f39QFIWLphfwTWQiS0yTxefRvL92uI+qqlGBKDjsVJh+7X4FJUlsOCCB6OabbyY+Ph7lEAvwk0j6ErpAlGS3iN+lQ9x1YzOL8ftCYXj3F/DKuX12Zror6A++hXYhEPmtYnalLqQJRMF9txQurhMfusc5tsLuReB3k58iXiarty7lUcs/uNn0Hsk0srO683bgXkVvQbqfrCWJ5KeC7iC6M/I8vHwOUxGt7hdXC9dEplJHYv1aUMOQMqjbzquXmM1PPgvurYMznoquq/O0CERGwjxu/jsFnlXtHidVKxUoN+dDziRI6JslzOs1B9F74SP5TfBKKjJnihWu3e1u//qSIm54ZQX1rcSy/y7ajS8Y4Qzj9xgUbVLz+Tnw/g34gmH+s0gc62dzf4Zy9ddwxt8P2TbriqIwPi8JUKh1DARgiFLKUEUEqeMcALXbe+Tc1dpESqZR+5yQjlOJpMdJi7NGJx/Hphui4rmaLlrTuyzavayDDMnyBh+hiEqCMUTWzvdg54JOB06fPTEPq8nI7U0XsWvYlXDK3zrcPhhuOa469Wo46a+QPb5T55L0Ll0uMbvnnnuor6/nrrvu4pJLLsFsbmsjVVUVv9/Pq6++2m2DlEj6Iy6txb3T0T+s2HoGkS8YFh0NfC5orge9U84hii4Q5VmbwAchmxCItkey4TcVHdpjdQfR5c3/gRfWw9x/k5csPgwX11jAAqMMu1lpu5ad2wqBVaK9si0JjLGtAFZVFY8vQMIHN4oFtdtiOh6JpK+gO4jGBVfDtt1kHnE+AF8WK2AFixIWAdJGC2SM7rbz6gJRU5C9gq9rm8R9ymI0cB5fcobxByKfb4JR68DStkRA72S2JOFYjjn3xm4bX3cSiajR1vNx+WN5pSifw5OHckrlvHYdRJGIygOfbcLlDTKh/jOuPn4Kvpzp/HeR2PayuMUQgGdMF/KL0GsolWvZuHkTgVCEtHgrc0ZmgJIJ7L81e19mbF4SX2+qYlskhwzWMlgpw6poTrOyFfDy2XDL6m4/r/45mWaQApFE0lsYDAo5STZ21Xr5xa5fR5dnZedCcTHlpJMFHQpExfXiOXVSUiOG/90oXON3d64pSZLDzBkTcnhzWYRj1mQxw7Oev5w1lkFat9890VvcA1i7GGYv6V06/QYSCAT49a9/zZo1a/jyyy+pqalh+vTpewlEkUgEv9/f7QOVSPobuoPodObDfx6GEafB9F/EeFQHTotAFEG1xKH4XP2i1b3+4JtjEg++YUc6AI1+tcVdsw/0uu70kFbCkTqEvJDYpyKS3GbbylA8hU9MFGUA1y2CzFHddg0HwiNfbOHNeStYojfQMxhjOh6JpK9Q5mrGQpB0vyh9ShgwHtiGTzVTqyaQqmgvyVljwdR9HSj1ErPm4N5lvDWag+i88an8av1bACjH3L2XOAQtXTHr2ilL6yvsrvPSFAhjNRmYNTyDlUUuNvtSOQXaFYh21Hi0z1SV86qfRHnVy0M5/2CEr4Q7HO+TF9hOUDXytOcYLsrfSHz1SlxrPgZGM3Vgcr9xxI/XMgv/VDcbW+Qw6uIG8X/BJ1s2qN8lxEtbUreeN9rFTNU668kSM4mkVzh9fA5vLy8h1bVGW6IwNEMEVW8PpTARRDfafaBPZI6JawQvkLR3bl1H/N+po1BQeHdlCT/uqOPXb6zkvfFLYeIlEJ/eZlt/q26KFk+ZyCpzpMrMsj5IpwSil19+mbvuuovTTz+db775BqPRiNPp5MYb++bMk0RyKFCrWbKHGUph53zIHBPjER0ceokZgGp2oAAEvTEbT3ehZxDFW4zioVqbGW30BTvaDRAzMzb8xAVrxQJnAXnaO1ktiYRVBaNW9rAtlMEUq0vclGs2x1wgmrelmnS1rmVBB6V0EslPibKGZoYopRgIgy2JrNyBgHDYVanJLQJRzqRuPa/uIHI0l8Mbl4iH6rn/BlrEnvMH+UnZ4MFvTsI65cp2j6MLRDWevisQ6QHVR2c0c7TnUz5XjKxqGiJWeir3CgBftqsegJHWWpIUL37VzEs74jjB0MjEyHoA1icdTUNVPD8ap3AsK0kq/hYYzcWmb+CNx2D8BTDi5N68zG5nbJ4QfjaE8wE4Nj+DkUVl0FpTrFgLA4/s1vPqAlFC2CUWSAeRRNIr/Or44fzq+OHwe21B+giGZgoHz7qmJOZCxw4iLQphiNUlFiTldun8iTYzf507juuOGczxj87nlIqnoOZT2LUALnmvzba6QGQ1GVCeP1Z00LxmQae6n0l6l075u0aNGsWsWbN49913+eCDDwDwer3s3LlTuoUkkgOkWns4TzVo2TOOlBiO5uDRHUQAEZP24N6PHEQbhl0HdxVRO+0OANy+EHx4K7x+ETSWt7tvcV0zuYroKIQ1CezJ0QyiMEZqaJnF3aVm0RBfqJ10S89cTCeJRFS2VXnIVFoJRLmHdumFRNJdlDf4GKZowckZo0lyWIi3ivm2SrWVMzC3mwUizUEUDvhh4weilFdDn3BIM4p7rtWZs88yVT2kmsZSeGwsPDysW8fZHegB1Sc4tjBh5W+52/QKG+qNIkD6gtf3cjQu2y0EouuHif02qgXMHJnDzZdfBOf8C85/maYTRD7GcxWDARjRvBwbfsY0LxNfz7qeyefpTdLireQ6W5yt47LsZIfF51NZnDbpUL6mvV0PCj2DyGRPAHsKxB3apeUSySHH3BcgdQic/SzDtFb3q9yicQIN+3YQ6U73AqP2vNdFB5HOwLQ4Th2fzWvh2YQxwvZvoHhpm230FvcWkwFC2qSj7GLWJ+mUQDRp0iReeuklvv76ax544AFuuOEGli1bxuGHH05ubi5paWmMHTuWm2++mV27dvXwkCWS/oH+QJ+MNttsP7QFIrPRgMkgbPr9SiDSvk96bkeCXbxcuX1B2PwJbPoImqr32q+hOUhZQzP5ihbU7SyIHkevva5QW77nu9Qsykxi1peazfsfWHO9cBFs+OCArqsjyhqaaQ6GyVLESxfDToILZK6cRKKqKuWuZkYYtAfuzFEoikKe1snsU3VGy8Y95CCq1TsoBjwQCeMLhmnSukcmqdrnSQcTDilxYv+KZoOYWfZU9jmH4NpSIfSMNoqv81Y1jxqPn6bxV8Dwk8BkbbP9sl3i5Wa8YScAIybP5PnLpjJs2EgYOxdGnsaMkYUUpDhY7MunzpKDAz+nWVaSWKcJJt38/YoVerv7c43fcV7p/TQkDmVjpIBFBu36KtZ26/mC4Qj1XjHhFTz7BbhzJww7vlvPIZFI9sOYs+Gm5ZA9jowEKwk2E7vDmpPPXQ6h9g0degZRJtpk5gEKRABXHF7IdjWX9yOaQ/H7x9qsD4R1B5GxZTx73MslfYMuJUSNHj2aefPmsXPnTt59913Ky8upqamhpqaGDz74AIfDwaRJk/jwww97arwSSb+hVnMQJUT0mv3UGI6me9BdRCGTNoPZD0rMdAdReoL4EEu0iVl5jz+EahWzNO11+Fq+uw5VhQkJWnv45AEAbV4m6wwtboNdaibbVc3aW9Oxg8gfCsNHvxSz3m9ecmAX1gFbq4SrLeogOkS7+kgk3U1jc4imQJhhiiYQZYhuMXnJQhTfkn48nHA/jL+w29v36g6i2mCrGVd/Y7TFvdmoYA9pnyf25D13j5KqOYiKmkygaI+BPle3jvVg8AXDLNkp7j2D3KI98yaT+Drrs92tqXb72VXrRVEgp2kjALaCKXttZzQoXDJjAKDwknc6ANdZP0Nxl4mvQz/ppjMuXwhEVxo/JavoIxoOu4uTAg8w350DQFPRijbb+9rJtOoKdU0BVFV8fZMd3Ze5JZFIDgxFURiWmUA9CWwderVwXkba/z3XM4icAW0yMyn/gM87Ni+JKQOSeTp4KiqKmECt2hRd7w9qApFRaXEQ7SfLUxIbOiUQbdmyhaoq8YNjs9l46623+Pbbb1mzpsWmWlhYyAMPPMC//vUv/va3jtvcSSSSlq4zcWFdIDq0HUTQSiAyag6iYHMMR9M96BlE0769EF46m4SQyBOKqBAxawGwgb1b1C/WXnAmJmjfX81BBJCfIr4+PyScFF1WrGawypepnXQrRFrC/Frz0Zoyxvzuc8Ibek6I364JRFloDqKEnB47l0RyKKG3uFeNVuH61NoJF2i/0yPyM+Gw6+Gsf3R7sLvuIHKHjC22fF9jtMV9SpwFJRIEk71jgUjLIGr0R1BtTrGwub5bx3ow/LijFn8owrhEL9a6TYBCaYoQdCqLt8G6d2H7t9Htl2vlZSPSHZiqNHfMPsr7zpuSj91s5K3wTO4KXs22wgvFivSRYG2/886hxoR8JwAlRvGilxcqwmxUWOoTzgBL3VaWbhNlZ99urmLM7z7npR93H/D59EmU1DgLBkP/CPuWSA51hmbEAwofpv8Cpv28TWabjjcQimbR2Zu1qISDcBABXH7EQLarucwzTBMLvn88uk7PIIo3RwCt5b10EPVJOhVS/eyzz/L0009zwQUXcPbZZ2M2m/nTn/5ERUUFFRUVbbZ1OBzcfPPNPTJYiaQ/oTuIrMH+5CASmvOOIx9mwkX/iXmr9oMlElGp8QSwEiCucilUgs3mwGRQCEVUQuZ4jNCug2ipJhD5R86FxGmQ2dLuWncQNWdOglHXUl5Rjn+zheUuB6DNrHhrIL5tjoPHH+IPH27AEvZiVEM9ddls0wSirWouq8zjmfDtn+CHJ+CKT0RnJonkJ0q5JhD9LeW3zLn5KFDFQ+6lhw3AGwjxi6MH9di5dQeRNxACe6K4T/gbqWkS95PUOCvMuE782cdsMYhQUaNBIRxRCVudmJrr+pRANG+LKNm9NGMblAC5k0iOz4ayMozbv4TNf4FhJ8LgWYBwawIcn+2BzR4wx0Fa+7lKSQ4zZ07M5bUlYV4Pz+YGy0KxIndij19Xb3HYoFTuPmkEw2omw9ofMNVu5fpjTuaTNQ7ecc9hYyiL/JI6pg7JZv6WakIRlUXbazR3VdepcgsnwChHAzx9ODjz4cI3uvOSJBJJFxmq5RBtrNj7+VRHD6hOtJkwnvYouHZD+oiDOu+xIzOxm4082nwKx1gXw7q34eSHwBofbXMfb2r1+SQziPoknXp7e/jhh7n22mt5/vnnufTSS3G5XEydOpWcnBxU7eFIx+fzEQwGOeuss3pkwBJJf0E4U1QUxSDs7f1CINJeYFTzIS8OAdR7A4QjKtmKSywwWlHsThJsJuq9QYLGOKywl0DkC4ajGRojJhwBqce1WX/SmGy+2lDFzEljYNQcvNUe2DyP7XV+1AnnobTTmhrgmXnbqXb7OcbQYtll0DHdc7Gt0EvMng+fwhfmc5mfeBvUbhPtkbuL8tWAIrtXSA4pSl3iZTg7SbPFa+3RB6bF8cA5PfuzrDuImoNhSE6EpirNQSTcQnrpGNChe8lgUEiJs1Dt9hOwJIkHwT4oEB2B5lIfPIcBQTH7vTmQzlEAVRuj2y/VOpgNHDoWZv8gWjp3cP2XHT6A15YUYTMbyGnaIBb2oxB+RVG4ZuZgWDcR1gKrXuaXV13OL487hgc+zeL5edu5rEE8u++uFeUl1Y0+2PwpZE/ocklxVaNwEA23N0DF+nYdtRKJpHeZOlB8LqzaspPGLX4SE5Mgq223ZL28LD/FAYOP6pbz2sxGjhyaxpcbQtTZB5CSkS8+q6zx0RKzeGOrCU6jLEvti3T6DW7IkCE88MAD3HXXXfzhD3/ghRde4OKLL5at7iWSAyAQitDoCwEK7hs3kGw3RV80DmV0B5H+IXCoowdUD7F7IAIkZIKikGAzU+8N4jc6iIe9BKKVRS6CYZXMRGu0a1lrjhiSxo/3zIn+Pz/ZgdGg4A2EqTr2CTIT955RKXM18+z8HQB8F5nAtUlP888zcrtdIFJVNeogAnB5A+DUOmG045Q6INyV8MzR4t+/qZA16JJDhnKXmHHNdfb+rKfuIPIFI6jWRFAMKEFvtFxZLx3rDKmaQOQzJuKAXhGIiuu8/OHD9Vx3zGAmD0gRTQyM1jaTCcV1XnZUN2EyQKZruVg4ZA6jGsQ96L3KDK5CQXHtBnclpeHEqBg/ZVAGpDjauDXbY0RWIv++fAoOiwnj/KfEwpz+4yCKktoqA0tzow5MFUKbt2IbrFxNckUNMIRxri/htUfFPjct69JpKjWBqMCifT4kyMw6iSTWjM1NYmxuEodXfEjiq6/B2PPgnOfabBPtYJayd/nZwXDcyEy+3FDJFfYn+d8VM6PL9ZBqg8kCU6+GSKhfvPv0R7oUUg3gdDp59NFHefvtt7Hb5UO9RHIg1GmhoiaDQpLdDAZDv7hJ6jPcCUVfwdtXwpLn9rNH36bGLb5Pg22aYBKfBUCCFlTtU/RubW1nTJdqHXUOL3CgrH4ddv8QLUVpD4vJEC0721Hdfue35xbswB+KkBZvBRTW+rN7xD1U7fHT0BxEIYKZEI2+EBGrJhD5Gg/q2N5AiGteWsbCD55vWVi346COKZH0JuUNPi4yfsUvN10A8x7q1XPr91eAJ/Mfo7D5JT5uHhMNqU6Js8KHt8Cr50PZyg6PlaKJSbWOQtG9y9Lz+TuvLSniq41V/PrN1QRLVsEzM2H+g222+U5zD00akILh5pVw4ZuQO4Wjh6VjMRpYX6cQSBkuNi7+kefm7yAcUTmyMJH8uM5PTMwekcmMQakw6TI49vfCOdPfSB8BzgHiby14tkATiIbWfAX/u55jvJ8BcKzvS7FP7dYun0YvMcsxag7ThMyDHLhEIjlYFEXh0sMGUKqKTmaqa+9W93oHswn2Slj1GpSt6pZzzxqRgaLA6jJPtCwbiJaYhSxJcMojcNrj+zqEJMZ0WSDSOfbYY7nqqqvaXffxxx8f8IAkkp8CevBxSj8LddRLzCwNO2DdO1C8JMYjOjiqPeLBN9+iCSPag68uEK0a+Su4pxyOubvNfrpANCvDA+9fC69ftF8BsDBNlJXtqvFAswuaatqsX6aVUVxxxECAaFvh7kZ3D01LbGCr7VIWWG4hZNZeHv0HJxC9s7yEz9dXErfl/ZaFtdsP6pgSSW9S5mpmiFKKs7nooH8fuoqtlUD0wtJKQOGrjZXRPLvUeAvsWghbPhPunA5IjRfBoPMG3gK/+BZGn9lTw46ys0aMaVetl6XLFgsxYv5DQkDXmLdZNESZOSwdLHEw7AQwmoi3mjhiiCjD3moVDiHf9h94fWkRAA8mvA7PzYbqjjtA7sW4c+HIX/aLCZq9MFngxqVw7UIxCQUMTBWfM0u8YrJjGOLrVxVJbNlvHw0S9oXuIErXmxpoEykSiSS2nDY+hzqr6I6rli6DbV+1Wa+XmE0KrhDPqnu0pT9Q0hOsTNTC8r/eWAVNteBraOliZureBg6S7ueABCKfz0dy8r47ZFxySfe3XZZI+hP6jO9M61b4z2nw1R9iPKLuQb/p+9DKL/bzktLX0buz5Bi1F8Gog8gMgCtkEZ0hWr1chMKRaFediXqL+1YdzPaF/uCetfaf8NcB8OXvouv8oTCbKsSxzox8xd/NTzAptIrwS+fAQ0Ng96KDuMq26B3MpqSIWZ8gRvwGLRPpIF6IVVXllcVFgMo7oSNaVtRJgUhy6FDW0MwApVL8J6XnAqnbw2hQsJrEY1u9NwjArG33M678HQxERImZV4jT2DvuiqmXo+lu1t5AF4huM71B1ZoviWSOBTUiXE+qyo87avl6UxXTlI2cmLl33tnxo8X99wv3QADqNy/AF4xwY9oKcra8DDWboX5nr13PIYHJCkZz9L9ZiTYsJgPrw+IzaZBSjoUgvw5e27KPt+3kBG9eBg8NBU9Vu6eo1hxEKRHtZy9BCkQSSV/AZjYydupMPgtPxRAJwmsXwravAfFMtq5UPNPlov3OH2QHs9YcO0pMqOYsvAceGgxr3ox2MYszhsBTDX6ZV9ZXOSCByGazYTC03fXEE0/krLPO4qyzziIc3nf3DIlEArWag2iopQZ2zoeKNTEeUfegZ2Q06wJRsH8IRHEWI9iSWhxEVuEg8vj27iRWXN+MNxDGbjaSi/ZAnbz/7jCD0oUIs9OnuXXcZdF1myvcBMMqToeZnJrvOdX4I2OUnUSa6qCpGry1B3yNe6IHVA+PE39Xqil4jZpAdBAlZiuLXWyqcAMKL4ePo2is1u1SOogkhwgef4hyl6+VQFTY62PQ77EAk5QtnB78jEvrHudq48ekxpnB5xIrHR0LRCm9LBBFImpUIDrFuIQzI1/ybdYVIqC0ZgtNZRv59ZurOUxZx8u2Bxn8yYVQ37b1+pyRomzh3VpRLpXm2UQu1dzqe1pscPTtwnEk2ScGg0JBioNyUvAa4jArYQYrZYQwEbBrXTMbSlp2aKqFDe+LkNm1b7d7TN1BlBDSPoekQCSR9BkuOWwgv4rczBfhyRD2w5uXQlMNZQ0+Khp9GA0KmT6t1D91SLed97iR4nl5WX0coBLZ+lW0xGxYcCM8PES4PiV9ki4JRA6Hg+TkZFJSUmhsbGTQoEGMGzeO7777juXLl3Pqqadyyimn4HB0b9iVRNLf0EvMMo2aet4POpgB2LTZ7SbR2wsC3hiO5uCp0Uo31o+8Be4qgqNuA1pKzOKqV8F718K8lhyNyka9y5ENQ4NW890JB5FeYrbJqwlEjS0C0ZoSMZs+NicRpWQpACsiQ/Gb9WwgV9cvbh/oJWYDzUIMqiCZBls+5E45qPDRV34savP/H52nwPWL4eSHD3ywEkkv8sX6CiKRMAUGkZPT2w4iaJtDtEYdxL9DJwJwhGE96Wa/cOQA2Pft8oaWjmfZVfPhsbGiDLYHKW/04Q9FsBrV6Nfv0XV2wgXCTfjNBy9R6XLzpOUfWFS/6G4Y3zbLJiPBxqSCZErUdK4J3MpRvse4M+krTCGvyBDao9RX0j4iqFphY1gIbcMV8TnltWWJltOtA8t3ftfy73ZyrcIRNdrMwWxPEM41KRBJJH2GvGQHFxw2hBuCt7DNUCgyM5c8G3W6j85OwFixSmzcjWH9QzMT+PVxw5gXGQ9AYNt3JNatA8Bh0CZXTdZuO5+ke+mSQGS1WiktLaWoqAin08miRYs48cQTeemll0hISOCqq67i6quvluHVEsl+0DMj0oyaw2Y/5QCHCi1t7nWBqH84iNITtOvRSsn0EjNTUzmsfq1NXbcuEGUkWsGliSLO/TuI9BKzNQ2awN5YHl23TuvSc0SGD9zlhDCyRh2Ez6QJRM2url/cPijTujRlKKJcoFJNYX3eefDzr2HGtR3tuk8avEE+WlPGEKWE32QsIplG1rrjIWMEmHu/G5REciC8v6qMHKUWMyEwmCExt9fH0NpBNK4gja8ikwDIVWpI1ycczHH7ffDWS8w8vqC4T7V2jfQAO7Xw/cnOJoxqiCAmNjQlsMgoxp9SNo/ZxlWkUg9x6XD+y+3eG44flQkofB6ZxuT8BE4LipBljvtDh63tJS0M0D5r1msC0f+ZX+Zry68pSpoCv6ng7Ybh/PKNVZzyxAIWfv5my462xL2OVdcUIBxRURQwXfAK3LkTBktXgETSl7h59lDiHXYe8J3NusIrYcqVrNAEojlZXvA1iI6S6SO79bw3zRnKTReeyTY1F5vq47xVl/F704s40JyrJvn811fpdJt7EInoujtIURQyMzP52c9+Rnx8PG+88QbnnXceqqridndTK2SJpJ+iO1OSFe13pZ84iPSXlyZdIOonJWZp8W1ftnQHkSukLW9VR60LRJmJtpYSiU4IRDlOOxaTgZKQE8yAv4F7317M/030M3nLi7zHacwwVwCwy1SIDytNhnjSoFsdRG6tbM7hF7P8FWoyVi3v5EB5fqHowHZH4ucc3/g1GebDeb3qd/vfUSLpI1S7/Xy/rYbpenlZ8sCYCBK6g2hCvpM5IzN5s1h0qMlValAV3ZG6/wkHPaS61K89oPdwm/udNWJskxIaoAl88flEfAYe2DaAj4Cphk3kOa3gBsZfsE+B66xJuby3spTJA5K5L/wESnUQBs3qkY6O/RW91f1mVSvVUxpJUxpZ6vextcrDbW+t1rZUGWRdAgoEzn8Dy8gT9zqW/nmXGmfFZDzgvjcSiaQHSXKYufXYYfzugyAriiwstKaxfPc2AI50aE73zNEi2L6bOXFsLjf9+Aiziv7O2caFXG76gnWN2r1COoj6LF26m6uqysKFC7n00ksB8Pv9PP744wwcOJCEhARuuOEGbrjhBmw2qQhKJB1R2ySEh8SIlunSiQf6QwG9xMwT0T5kDvESs2qPHyNhpn52Grx0VlQI0h1EtSHtXudvEcX1PIasRFsrB9H+S8yMBoWBqQ48OAiaxAzvguVrMb10Buf63+F20xsM8W8EYLdddPFxK1o5Wje+3Ln9QiCyBIRrqU5NwHUQAlFRrZdn5u8glQaODc0H4MXQCWyv9sDiZ+H9G6Bm28EPXCLpQT5eU0Y4ojIkPU7Y8LPHx2QccRYhTh8/OpOxuUmUq2Jywa4EsDeVgtmx3/IyaMkgKm7WBSJXj4xXZ4eWPzTKJnJq4rOGMjQjnnW+NB4Knsff4m5lgHuF2Hjixfs8TkaCjc9uPZo/nzIIo1fLeDtWis1doUBzEH0dnsilgTupsorPp+2GgWwoF88kg9Lj+OuZo3hWPZuPw9O49cd4VFXd61j6JEpmonzRk0j6MhdOL2BAqoO6pgAvfL8r+rs+PKI9f3VjedmeFA4YxK+C1/NO+CiAlnu9WVYc9VU6JRBt2rSJG264AYAXXniBn/3sZ6iqynPPPYfFYsFisWCz2Zg5cybHHHMMZrN5P0eUSH7a6CVmcVGBqH84iKza7HaRsQDu3AW/XB/bAR0EwXCEuqYAaTRgq90owsTNYuZVdxDVBrV7XaC1QKSVmCVY4Zzn4dTHOhVSDS1lZiUhJwDDlBIMiEyRi01fE1cp8ofKE8cB0KBq4dHd9HLnD4UJaF0myJvCzqQZlKjpJFSvgL+Nhn91PQD2jx9vIBCKcHfGIgyRIOHsSaxUh1Ll9hNa/Qasehkq13bL+CWSnuJ/q0Um2MCpp8AvvoO5/4rJOK4+qpCTx2Zx4bQCxuYmEcBMpeoEQEkZCL8ph59/s9/j6CVmUQeRvwEi+24w8sL3Oxl172esLDowMVoPqB5oqNTGWsivjhsGwHOczRVjNYEhbxqkD9//Ac0OkYt20kM9+mLTH9EdRBWkskgZT1JETAZ4fAFGzb+OB0zPMr0whfNnDOKEy+7hl+qv+GRzA6uK6vfqZKZ/3k237oanZsC71/TuxUgkkk5hNhq45ujBACz5+l2eNT7IhfEriJ9zB1z8Lky5osfOPaHACcDroVn8KnAtWzJPEiukg6jP0qkSM4PBgMvlQlEUnn/+eRQth2PUqFGceeaZAJSUlFBQUICqqng8sm2dRNIRehczswFQDP1GINLLH7xhQ6dmsfsyenefbKNLLIjLAK17oy4QVQf1EjM3qCooSkuJWZINhh3fpXMWap3MPghNIwU3A40t7YZtBKB8FShGXCkTYLufKiUNMsdAUvdkobTuymY+/vd85djJik82cqS/ARpLxM9qF1iwtZovN1RiN4Q5MySyQoyH30BGjZUqt59GewEpLJOdzCR9mmq3n5VFLhQFTh134EHt3cHxo7Oi7d4B8pLtLPWMIM/WzATEs1nrtub7ItFmxmRQaIjEtSz0NezTzfrfRbvxBsK8v3w3E/3LoWgRzP6/aC5bezz+1VY+Wl3Kv6+Yxq5qNyOUItIUbVIkZRAnjsniz2eNIT/ZQWb1FvGZ0YF7qA2KAnN+27ltJW3IddoxGRRCEZWJTh/WpgZCqoHtwRSubpyH3ZhGU0YCAIcNTmXKgGRKd6xn+GszQAnC7dujn4VVmoOo0FwP5RvBGh+z65JIJB1z9qRcHv1qC5Ob1zPHuJI8M+D4LQyZ06PnHZ/nBGCpOoKl6gjOtS4XK2QGUZ+lUwLRsGHDeOWVV4iPj+ejjz5CVVUikQiTJ08mKSkJgNzcXLZs2UIkEmHkyO4NuZJI+hOqqlKjiQ+un31IfJIN2Nu6fSiih1T7gvueiT5U0K3zQ+weCBFtcQ8tJWbVAe0WGglByA9mW7TELDOx6x98hZqD6NHQuaTFW/jN7Gyu/SiV/zO/TJ5SAwOPggteR/m+HNjCIttRnHXxjQd+kXug5w/FWYwYDQpOh3adQa1k0C9mmlVVhS2foSx6CsacDVOubPd4T34jrMuPDFqJqaRKdEEbdQaDFy2nyu2n3JRDCkDdjm67Bomku6n3ivu1024WzsA+xLi8JG5cezMzC9P5T+6kTu9nMCgkx1modquEzQkYg25RqtqOQFRc52VnTRNO3Jyx7mZYrWXUjDlb5Fa0w7rSBh77egsnKoux/PMmvgsUgRVqjlkC5z0OiCzLi6Zr7spht8D0a4XQLulRTEYDucl2dtd6udQkGiyYlAhrvSLPKos6hqeYYMlzMHg2A1MdLNmehinQCJFmqFoPWWOBFgdRjkl8NuzZeU4ikfQdbGYjVx1ZyH8/nc0Nxv8xvHklVG+B9GE9et7UeCv5KXaK60QTlKbEwSJrLm9qj55XcuB0aTo4Ozub3/72t/zud7+joaGB7Oxs5s6dS0VFBZFIhMrKSqqqqtqtU5ZIJAKPPxQt40mNs4qZuH7SfcVmFrcUXyAEH94C71zd49kWPYUuEA2waOVj8S2z9omag6jK10pj97tRVTX6wJzn3wGr34CKdZ0+p97qHmDu5HxOnzGaXRlzONf/O3xxeTB4FpgdOLXykPqDDI/eE4+WPxRvNUIkjNMhzlPua3FKVbiamf6Xr/n207dg1wKo3NDuS92aEhdLdtaRa6jnxKpnxcKjbwOjmSEZYpZ5W1h7mZAOIkkfpjkgBG+72QgPDoInp0BjWYxHJZhUIJyaucl2WPQUvHo+bPhfp/bVy8zcyaMgd/I+S8zmbRGB9dMNm5gUXt2yYvu37W6vqip/+HA9qgqnGBeTGShqOWfxl2BNEH/2xGSVXQ17Cb2T2TB2AVCtJrGpyUFINWBSIox2z4dPboN/n8DAVDshTGyzjRE7Fy+OHkefEMlAKz1MiK3DTiKRdMxF0wvw2LL4JqKV5j41VUQo9DC6i2iEUkSqbxdMuhSmXtXj55UcGF0SiLZu3cqqVatYunQpTqeTsrIy4uLiuO222ygtLWXUqFGMHj2a2tranhqvRHLIE80fshjbtCzuD+glZr5QBFa/DmvfEmULhyC6QJRv1koi2nEQNfhV1F9vhnvKIC6NxuYQfk38Syv9Ct77BSx5ptPnHJwRr1VsqFw4PhGju5SXrprOA1eehO3Xa+GoX4PBgNMuXuxcmrOhu2j0CcEpzabCfSnMfm8SdnyU+7SSFTXC+0u2UOX2k1GnWYSXPgcvnbnXsZ5bsBOAWaPzMAw/ScwUTRZOo8FaKd3aZq20sk4KRJK+i+6IdJiB5jqo3dpnrPEXTi/gj2eM5pY5Q6F4CWz5rNMt61PjxX3ku8NeELlF+5hFnh8ViDa2XbG9/ayjD9eUs3RXPU5zkGONKwF4N3wkAMqmjzs1NknPcvhgce8tO+ZRwlN/zvnBewmpBioRgqNz0+tiw8GzGZgmxLz1Ec3tVdmSLVjtFhMiKRFdIJIOIomkL5NgM/PK1TNwHn1ty8I1b/T4eSfkOwGYa5zHxA0Pwvr3evyckgPngHpSBoNBAoEATqeTF154gUceeYRwOIzb7cbtdhMfL2uQJZJ9oXcwG+VogBdPhfeui/GIuo+WErMIWDQ3TPDQ7GRWreVEZRlcYkErB5GeQRSOqHgtaXy6uZE6b5BK7WHZ6TBjbioXGyd2Ph8oLd7K384bz5vHuCh4diQ8Opr02qXMHJYezXwASNZKv1RPNTw5GR4Z2S2lGXoGUYZZXIch1EwzViqbFVDE9/ab1dtIwMsoZXfLjrsWtunkVupq5pO14vovmDVRhHVf+kH0GoZo+RaLXU6xQ1M1+BoPevwSSU/QrAlESaaWjC49sD7WOCwmLsmtIPOfo2HD+2KhvXNdMVPihDOwRrvXtUcwHOGH7WLSb7ZtCwDfZF4uVu7+HoK+NturqsrDn28G4C+jy7HhpziSziPBc8UGRT/AR7/s1PgkPcc1Rw9i5W+P45iJIzCe8jANdiH+6F3xFN1RMGhW1Nm6pDlHLGslEOkOooSQlpfX6nNSIpH0TcbmJTF1zrktC7In9Pg5dYFoVWSIWLBzAUQiPX5eyYHR5Tb3X375JVarlXnz5okDGAxkZrbMGDQ3N3PyySd37yglkn5EtVu4Pgbb3aJEZ/f3MR5R92HVSsyag2EwawLRIdrqXncQWSwWsDkhoeXB16Fl9AA8O38H172ygj9+tIGKBi2gOsHWUoKSmNOl8541MY9pY0e1LPjmz3tto5d+VTYrULsN3GXdIsTpGUQZFnHtqjUBUGjwhVBtiQDU1dVwmHkrBkVlRySLCkOmyGDavSh6nJd/3E04onLEkFRG54icOiwtL9SDM8TPxoZ6BTUuA4yWTrseJJLeRncQOU16SafSt7qv2JLA2xJov6+g6T3RS8z0QP72WFXswuMPUWD3MyAkXIH/8MwUQkDIJ8KqW7G9uomiOi8Wo4HjlR8BWGQ7klLSWzZa9u9OjU/ScyiKyKDSSdeytcrVPX52Bs8iP8WBosDKQJ5YVrkeIhEiETU6kWL3CZeZLDGTSA4RDAbhHD36Dph0WY+fbnROEkaDwipVdFKjeiN895ceP6/kwOiSQBQOhzn99NMxGAxMnNh+W9GPP/6YzZs3d8vgJJL+iO4gyrVoL/SdfJg/FLC3DqnWBYFgUwxHdODoD76rxv4W7toNky+PrlMUhXircBGZFj/FQ6Z/UrflRxJXPcMkZQsZidYDFojEPq1cR+0EzybHCQdRebMR1aDlIHVD1pOeQZRmEkGCik2IO6oKoYxxlDhGoaJwbrrIFFkSGcG3AU3M2jkvepzlu0S5wY1Zm2HzZ+Cta3OerEQb+Sl2whGVhYc9B3cVQeYoJJK+iC8oZjmTdIHIEtdh965eJym/7f872UFSF4jG7XweHhsLCx/daxu9vOyinDIUVLZHsllaa6W5YKbYYMe37Kj2UN8UgM2fsmORyD+aPiAe0/avAZh4wmWcMi6bpsmaW3YfofaS2KELRGVqq46qGaMhIQub2UhOkp2dajYRgwUCHnDtprYpQDiioihgjE8V3VgTpINIIjlkyJ0Ms38DJsv+tz1I7BYjkwqclKitJgtqtvT4eSUHRqe6mEU3NplQFIV//OMfFBQUMG7cOPLzWx5MVFXl4Ycf5vTTT+/2gUok/YV6bbY23aRZ823O2A2mm2lTYqaXYAQOUYFIcxDpD857vhAm2Ew0NAeZ5F/KEab1FAYrmLBhC+9a4fbE+bCjVGzYhRKzKHGtPkCTB+61OllzEIUioNqcKN4a0YHoINvdu7UMohSjuHbFlojDYsQbCLP7lFc5/5lF1KoBpimvArDePBqXX+ECvoUdQiBSVZUtVaLcbNLWx2DZDlFeNmhm9DyKonDymGyemb+D14sSOepI+0GNWyLpSfQSswSjJhCZ+9jPqzVeiELNWg5MJ0vM0rR7W7DZA41F4K7Ya5v5W4UzaZZFTPxtto+HAGxwTGEyb9BUtIoTvpvP0PQ4Ph74EUeufpcMHmJuegOUuSEunaETZ/LUZANExsOwY2DgEQd/zZJuJT1e/Cw8HDqf04baydn5tmiKoFGYFkepq5mdeWcwOCcdDKZoQ4bUOCuGyz+KybglEsmhw5MXTGJHtQde1hYkF8Z0PJJ90+UMIqPRyNq1a/nnP//JkUceyaBBg7jnnnsoKSnh9ttvJxAIcNttt/XEWCWSfkFDs/4SLlwa2J2xG0w306bNvZ5BdIgKRHouR/o+2lrrQdVNiLDaKYaWmZBBNk/Ly9qBOIgMBhg8B+IyYOzcvVbbzMZox7iwRSvh8rm6fp49cGsOomSj5m6zOXHaxXV+sLqM2qYAqQ4zCWm5YE2iNHEiP0S0NteVa8FbR7XHj8sbxKyEsbi17kUpg/Y618ljRSnCNxurol2iJJK+iP7zmWDQSrH6mkAEkNDqPtNJV2p+shDxS/1a4LZ+z9Lw+EOsKxVNBnLjAZOdYM40AN5oGAXX/cAT2Q8QDKtsqPDQULIBh+rlLONCRhUWwNjzxB89P81ghOEntt/BTBJT9M+5ICYyapeKha0EooFp4mfl3dzb4MT7wZkfnUTJTOxD5ZYSiaTPkpVk4/AhaXD9j6LpypG3xnpIkn3QaQeR3+/HarVis9l4+umno8u3bt3K7bffTmFhIVlZWaxYsUJkdkgkknbRBaIkg/4SnhTD0XQv9vYEokM1pNrtJ4caJn14PGSOgPNfbuMi0oOq3ez9sjixWcvlsMSDNfHABnDR2yLbZx/W32SHhfIGHwFzImbolhIzPYMoSdG+Z9ZEkhwWyhp8PL9gBwBnT87DcMorEAljfGkFtZVVeOw5xDeXQc0WtvhFAOHUZC+KNwRGa7suqnF5SeQl2ympb6bk/d8ztPZbOPlBGHD4QV+HRNKd+EJCIDKZLZAzsW/mrLSeaOjkZ8qAVPHSv8trBSN7CUTLd9cTjqjkJduJO+dJiDxGYVEtbFzK+xvd3HPWND5aszC6/T9c07mbFZxnXkDh2KdhwpEHe1WSXkIXiGxmA4brFkLR91DQci8emCo+z3fVtHyeV2gOoszEvtHRTyKRHCJkjIQ598Z6FJIO6JSDqKmpiaFDh/Lcc8+haC9Iq1at4rHHHuPqq69m4cKFXHXVVTQ0NPDxx7KFqUTSEbpAlKBqzpp+JBDprpZQRCV42lNwx04Yf0GMR9V1fMEwbl+IgYYKLPXboHrTXiVmiZpA5FGFQPSP0Gm4tX+n4YIL34LTHj/wrBKDocO68CTN2eM3abPx3eAg0ruYheMyhIMpZ0LUQXRD5BW+t97MzQnfaeMzkqs5EHbETYDBs0ExsqVSlJdNT9JeNlMK23Rg01EUJeoichevFQ4kvXMOWqlapZtw5OC7s0kkB4NPcxDVJY2CX3wHF7wW2wG1R/Z48fe0a4RTpzO7JNkwGhRqw1o58B4C0ZKdonvZ9EItl8ZgZOyAdEZkJRAIRfjDhxsodTWTbA5wuvEHPvKMoFm1MJgSDBUru+WyJL2DLvIMzUjAYE+E4Se1aSygC0Q7a5rEZETJMpZpWXOnmRbDU9Phs7t7fdwSiUQi6X46JRAZjUb+8Ic/8Oabb9LQ0MATTzzBaaedxooVK7jlllsoLS3ln//8J2+++SY333wza9as6elxSySHLC6vEIhsxohoHd6vBKKWFxOfOUmUOhjNMRzRgaFb5wcbq8SCduqk9RKzoEk8OFsI8UzoVABS/MUw7Ph2y8O6Cz2HqN5eAJljuqXttp5B5Mo/Hi55F2beEQ3ETqCZXKWGhOLvotvnJQtB7LnUO+CS9yB/Klu1/KExNvFyScrgfZ7vpDEi0PSDBm2bnQui6z5aU87xj87n0n8vxtfUCK5iqNsJ4VB7h5JIegw9g6j1/a3PkTUOCmdC+vBO72IyGsh12qlTNZHZU9lm/eIdIlx+emFLyZqiKJw/VWRPfrVyK4+b/85K4+U8Yf47L1v+wmeRqWLDz38j0u0lhwSzR2RwwbR8bj+h/Z+fgVqr+/raSvjrAHh+Dks3ixLiw5T1YhKFPhTcLpFIJJIDplMCkc1m44orruDLL79k+fLlLFiwALPZzJlnnsnZZ5+N1SqsqSeeeCI33XQTl156KeGwzJSQSNpDdxAVz/gD3FsLh98S4xF1H1ZTyy1F7/xzKLK7VtjoR9m17lspewtEuoMoK9UJQJrZz0eRGVwWuJPgsXu3pu9udOFmweDb4LrvYczZB31MvYtZvK2l+jjJLoQor0EToLZ+Hp0pznEKgai0vqXsYHOFEIgGGrTA29S984d0JuQ7yU6yMS84UiwoWQJBkc2lZ5+UbF+P8vBQeGwMPDEB/iubIEh6l0NCIJpwAVz2AUy9qku7FaQ4KFPTxH8ayyAirtUXDLO6xAXA8VXPw1MzYMVLAJw5IReL0YAHG4cZNkSPNS8ynrfDR4v/FC2CZf86uGuS9BpxVhP3nz2Oo4elt7u+IMWBQYHygJ1wnBD207zbiLMYyWhYpW00o5dGK5FIJJKepMsh1WPGjOGtt97ixRdfpLq6eq/1d9xxBxMnToyWokkkkrY06hlEdrMoPzJ2qZlgn0ZRlGiZGVu/gA9vhdVvxHRMB8I2zQUzzKzd49oJWT53Sj5HDU1jxkDRUnqktYZdajbz1fGkuTeK667b2WNjdGoOIpf289Qd6BlECdaWF+GhGfEAjMxr9eIw8CgAcnWByCVEHTXYzNZKDwCZwTKxbTtfOx1FUZg6MIWdahYeSzqEA1C8GICyBpFvMVnZglX1oeqz07t/gKDvYC5TIukSutg9oeYj0Q6+H5XSFKQ6qMKJy5oDeVPBL+59K4rqCYZVshJtJNWvg+qNEBbOyuQ4CyeMyULFwA/KhOixLCNPYsoxZ0DaMOFoHHpCLC5J0gNYTAZyNceoO0m4jEYZdjOn0IahaqPYSApEEolE0i/o9JvppEmTsNnaBtGpqsp//vOfvbb1+/0Y2smckEgkLQ4iPdulv2EzG/EFIygVq2H5C6CGYfz5sR5Wl9heLfKh8lSt5KKdErMxuUm8dNV08I0EYxOr1dmwIEJavBXjsudhy6dw6qPtuo+6g2SH+PnRSxa7A10gGrfgWnh7CZz2GBfPOJuxeUlM3rkGNM2HYeLFT39hSPDsQH1wMBEMuP2PYTIoWE/8A9RcAHlTOjzn5AHJfLC6jNWmcRwR+FqUmQ06hooGITodmRWCOvjMMJOTzCvA3wj1uyBjRLddt0TSEdE295EGcBXtldVzKFOQ4iCMkd8XvspjP5sYXb5kp3BPTitMQSldKxZmjY+u/8VRg/hmYyX2IUfBtu8AuPC8C8FsgyM+g2ATOPN77TokPc/wzASK65pZ6CvkVOZxgmEpofQpsFsVEwHxGbEeokQikUi6erIqEwAAbMFJREFUgU4LRE8++eReAhEIkeiCCy7g5ZdfxmQyoaoqfr+/WwcpkfQXguEITVrgafbXNwEBOO6PPSYixAK72YiLIAG9JEmbkT6U2FblAVRSAqViQUffH1sinPwQY8obURYu4LTkIiEOQbvdu7oLPYMop+o7ePIyyJkA5zx/UMfUM4gswUYIuMFowWIyMHVgCqT/AspXw9SroyG4qXEWrCYD1aEkFG8NRsCGn7y0VMw5YyFn7H7POXmAcGB95h3KEXwNu0QOUbnmIBo2cjwfz5/G98HBzBmRhkUJgyInICS9hx5SbaMPt7k/QApSxH26qK5tt0ldIJqZG4HNlYACmaOi68fmJbH+vhMhNBs+K4XcKUIcAohLBVJ7Y/iSXuTmOUP5dnM1D5RP5GTLfzjKuA5v45diZcFhsR2cRCKRSLqNTgtERxxxBIFAAEVRMJvbOh9GjRpFIBBg+vTp3T5AiaQ/0diqHMiy8yvwNcCc38VwRN2PntPhtWq5Fu6KGI7mwNhW7cGBn2DSQMxNJeAcsN99RmYn8tktRzNw7WOgZVuTmNNjY9RLzLy+ANRubdvm+gBQVTWaQWQONoqFtsSWDeJS4cLX2+yjKAq5Tjs7aiKELImYAo3kK9UMzdz/10tnRFYCDouRb/0jCKZkYU4bSiQcoVJroZwy9VyuWZ5HqauZM6bMYPog+eIp6V30Nvc2VStt7IZA+L7CXgKRqhKMqKwoEi6pwxyaSJ42FCxxex/AZBFOSUm/Z1yek5tmD+Gxr1QWRMYy07gGx5b3xcp8+fwvkUgk/YUuTcO+9NJLWK1WjEZjmz8ffvghr7/++v4PsAcul4vFixdTX99/7NoSSUfo5WWJVgOKT38J7z9dzKAlqNpjzRQLGkpjOJqu09AcpNrtx4uN8M/nwZ27W2bG98PwrASs2aNbFvSgg0gvUawMamNrdh3U8byBMHpHeUNAc3114mdTD6p22/MAGKBUMiOhGn78J+xetN/9TUYDE/KdlKgZvH30F3DGU9R4AwTDKgYF0hOsjMwWXZY2VRx6bjTJoU+z5iCyqpo7uj8JRKniWo5v/pTIIyPh0zvZXOHGF4yQaDOR5d0qNszavxtQ0v+5YdYQxucl8Vp4dsvCjNHSQSSRSCT9iC4JRJdccgkej4dAINDmz/fff8+tt97apRO/9dZbDBw4kKuvvpq8vDzeeustANatW8fUqVNJTk7m9ttvR23VJnXevHmMHDmStLQ0/va3v7U53ttvv82AAQPIycnhtdde69JYJJLeQg8UzraFAO1nu58JRHaLcBA1mLU8AndLZ5xDge3VImQ5K9EmWtl3NXC/deaOPbkbR9YWvYtZuV90kTzYXBTdPWQ0KCh+Tby0Jnawh0APqq42C7dUgVLF5PBa+OxO+OHJTp1bLzNbXuQCoEIrL0tPsGL2uxiRKYKyN5Y3QiQCTTWduyiJpBto1kKqzVGBqP+UmCXazDgdZlTA4C4D125WFrsAmFCQjKFijdgwa1zMxijpO5iNBp67bAqTj7+A5tl/gtu2wfU/QPqwWA9NIpFIJN1ElwQii8WCw+HYy0F02GGHMXTo0E4fp6Ghgeuvv5758+ezdu1annrqKW6//Xb8fj+nnXYakydPZtmyZWzYsIEXX3wRgOrqak4//XQuuOACFi1axCuvvMK3334LCFHpoosu4re//S2ff/459957L5s3b+7KpUkkvYLuIMq2ai8aJjuYrDEcUfdjMwmBqNGUKrJiIiHwVO1nr76DyB+CwRntlFN0BmcBXP4JXLOg6+JSV06jlZgVNWsvq8310EpQ7yp6QHWSRUEJiK8BNud+99ODqle6hdBZaKxmiEkL9+6gxX1rJmkC0Yrd9RCJ0FAiuuJkJdrgkeH8avGRZFFLsHg5/DkLnpvd0eEkkm7Fr4VUWyL9r8QM9mh17ypmlSbUTsh3ijLZzLGQM3Gf+0t+WmQk2Pj5MSOwH30TxKfvfweJRCKRHFLEJOmzsbGRxx57jHHjxIzUpEmTqK2t5dNPP6WhoYG//e1vDB48mL/85S/861//AuCVV14hJyeH3/72twwdOpR77703uu75559n1qxZXH311YwdO5Ybb7yRl156KRaXJpF0SGNUINJeNPqZewiItrlvDiuQkC0WNpZ1sEffQncQ/bL5aXhqOqx/r+sHGXgEZPfsjLseUl3i1wQiNSwyrQ4QPaA6wxpoWWjbv4NILzFb6REiz7SEGqxbPhYrsyd06tyT8sW+NTVVRB4azBGfnUwiTQxNCEA4gEENUUciS2rtotV2QzGEAvs5qkTSPehdzNS4DEgdAnFpMR5R91KQ4qBU1bK9GkpYWSzciBPznXDi/XDdQhg0M3YDlEgkEolE0mvERCDKz8/noosuAiAYDPLoo49y1llnsXr1ambMmIHDIWbnxo0bx4YNGwBYvXo1s2bNQtFm5KdNm8by5cuj62bPbplRbr2uPfx+P42NjW3+SCS9ge4gyjBrAtFBBgv3RfQSM18wDFd8CneXQN7kGI+q82zXHEQF4d1QvemgXDk9SZLdjKJAADMRs+Z28tYe8PH0ErMkqwKDZ8OAI8Bo3s9eLSVmWyJ5LAiPYYCxRpQVxmfCyNM6de4kh5mhGfE0EkezMREDEaYZNjHYLr4XqiMVg9lKcTCeiNkBakS0G5dIegFdIHLNvA9uWg5j58Z4RN1LGweRv4Hq6moAxuc7YzcoiUQikUgkMSGmvYJXr15NVlYWn332GU888QSNjY0UFra0k1YUBaPRSH19/V7rEhMTKSsTroSO1rXH/fffT1JSUvRPfn5+D1ydRLI3DV4hEKWYg6AY+6eDyNRKIEoeANaEGI+oa2yvbgLA6SsRCzpqcR9DjAaFRJsQcPwpI0QZSCR0wMeLVG/ldMP3QiC65D244pNO7ZenlZitUIfx55S/YLWLvCCm/bxL5ZN6DtFWx3jxf8MWCsxCvFcSshmemQAoeBwFYoe6HZ0+tkRyMPg0gciq3dv6GwUpDrzY8BjEvTpHqWFAqoMUm9JnBXKJRCKRSCQ9Q0wFonHjxvHFF18wdOhQrr76akwmE1Zr2xcKm82G1+vda52+HOhwXXvcfffdNDQ0RP8UFxd385VJJO2jO4jKMo+Be2vh0g9iO6AewKY5iJoDIti1oTnI+c8s4t8Ld8ZyWJ3CHwqzu7YJBz4sPi0IOblvCkQAyQ4hEK076W1RBpI+vEv7h8IR7nh7NU9+vZXRS+/mCctTTFHXdekYmYm2aNTSr4ZWoFSuExktU67q0nH0HKKlPiHYj1CKyDFqJXPxmYzIEuVuFUYRhi0FIklvEImo+LSQat0d2d8YqoXA7w6LMrNcpUaUl618Gf6SAx//Ooajk0gkEolE0pvEVCBSFIXJkyfzn//8h3fffZeUlJSotVnH7XZjsVj2WqcvBzpc1x5Wq5XExMQ2fySS3kDvYpZo17pjdbJ9+qFERoIQa0tdXihZTt3r1zGp6EUe/mIz3sCBO1x6g101XiIqjLRqpVr25D5dBpik5RDVNx1YHs+CbTW8uayEp79aR4ldiEtDw9u7dAyLycDp43MYmZ3IUbkKxKXDhIvAkdKl4+gOoq/rROjpCEMx6dSJlQnZjNBa3W8Pa93xpEAk6QX8oUj038lvnQNPHw4VXRNR+zqTCpKZOSyd1eFBLIkMJ4BZBFTX7YCgFwz7LzWVSCQSiUTSP4iJQDRv3jxuv/326P8tFguKojBy5EgWLVoUXb5z5078fj8pKSlMnTq1zbqVK1eSm5sL0OE6iaQvoTuIkuz994F7cLqYjd5e3QQNxRTufotjjcvxBsJ8vr4ixqPrmJ01IvNmUpKWS+YcEMPR7B/dQeTSShe7yidrygF41vQwE8reAGBW/Vtwfz68e02nj/P4zyby6S1HYZ94Hty6Dmb/pstjGZQWh9NhZm0oD4BspY4UzzaxMiGLkdlCyF/t1YQnKRBJegE9fwjAULsVqtaLDKx+hKIoPDh3HA9aruO8wO9YGBnLhILklt+xlM51I5RIJBKJRHLoExOBaNiwYTz77LM8++yzFBcXc88993D88cdz8skn09jYyAsvvADAX/7yF4499liMRiOnn34633//PV999RXBYJAHH3yQE044AYBzzjmH119/nbVr1+LxeHjiiSei6ySSvoQuEE0ofxPeuAQ2fhjjEXU/LQKRB5LEy36WIpwg763s293MSuqbARhu1ZwryX1dIBIOorxN/4YnJ8OCRzq9bzAc4YsNlRiIMMGwh2vI3wiRAxOdMNuE86qLKIrC5IJkmrCzOyJcQjarFUadCTkTogLR954cAsNOg0HHHNj4JJIuoOcPWYwGlKC4P/S3NvcgSkX/dOYYABwWIyOzE6BOKwuWApFEIpFIJD8ZTLE4aXZ2Nm+//Ta33nort912GyeccAL//e9/MZlMPP/881xwwQXcfvvtGAwGvvvuOwDS0tJ49NFHOfnkk4mPj8fpdPLiiy8CMH78eG655RamTJmCzWZj6NChXH/99bG4NImkQ/Q29+kNa2HXB5A3NcYj6n4K0+JQFOFqqTdnkAxkUo+BCAu3VlPV6CMjsW+W1pW6xAugPT4JDGMhY1SMR9QxTs1BFPG7oXYbuDqfp/b9thoamoMMV0pIUJrxqWYUVKyKVgZo7f3S20kDkvl6UxVvhI8hzRTmypl3QNoQAJKAQelxrK0exPeTz2fW8IxeH5/kp4fuILKZDRAUAfaY7TEcUc9x6jiR75XiMGE1Glo5iPpuDptEIpFIJJLuJSYCEcBxxx3H+vXr91p++umns337dpYvX86MGTNITU2Nrrv22ms54YQT2LRpE0cddRTx8fHRdX/+85+56KKLKC0tZebMmR1mEEkksUJ3ENnDopSpL+fbHCh2i5Fcp52S+mY2NdqYohoxK2HGO5tZ6Yrjg9VlXH1U35yRLtUcRLXDzofD7ozxaPaP7iCqi3S9zf2na0W536nJxeCF5ZFh2BU/kxStrCsGHfb0HKKnw2cyPiWJKzVxSGdCnpMd1U2sLnZJgUjSKzQHhEAUb1YhqImnlv7nIAKgejOnfnW2yMe76ksINYtum86CWI9MIpFIJBJJLxHTkOp9kZWVxSmnnNJGHNIpLCzkpJNOaiMO6YwaNYrjjjtOikOSPosuEFlCWsZNP2xzDy1lZt9traUS8dL/8/HCNfT+qtKYjWt/6A6iXOeh4RDQM4iqQtr9sLm+U/sFwxE+3yAEorkZouxvuTqUdZFWTgFb7zuIxuc5MRpES7SsRCt4qiHSkvcyPt8JwOpiF7iKoHxNr49R8tPCHxICkdPcKmC/H5aYASJg3l0GDcWw9XOxzFkAxv6bmSeRSCQSiaQtfVIgkkj6I4FQBK82G20OusXCfioQDUoXjpbP11dQoYpQ4WkpQnzZXOGO2bj2hxCIVHKdfbMEbk+cmoOoIqS9sHbSQfTVhkpc3iCpcRayan4AYEVkKG+EjyGiaK28Y/CzabcYGZ2TCKhMtJTAw0Pgj2kQFi/nukCUV/Q/eGwsfHZ3r49R8tOiOSAESqdJy+RSjGDsp5NQjhQYcpz495q3YMSpMHhWbMckkUgkEomkV5ECkUTSS+juIQCDv0H8o58KRLqDaFetl3JNIIoLCvEiGFajs/J9iSZ/CJc3SDJuhv97pGhnHQ7tf8cYopeYlQV0gahuv/uEwhEe/mIzABdNyUbxVAKwMjKU9Woh7sxpYkObs9vH2xmOGZ6Bgsq1my4XC9QwGEU19MjsBMxGhQU+zelUvBj8npiMU/LTQM8gcpgQYc3JA0UJVn9l8uXi7+pNMPcFOPXRmA5HIpFIJBJJ7yIFIomkl/j/9u47vsry/v/46z4je08IIwmEKUM2LhSxYhWhzorWVVFba9XW2mqtWuuvam3VqvXr3kWtG0ddCIIiskEgbAKEBMjeyUnOOffvj/ucIGUI5CR3xvv5ePCQXPd97vtzMHf0vLmuzxUMiOIiXBgNwYAowb6CWlEwIAK4q+kKnjhuHuHH/7J5rKah/QUvhYHlZQMjyjCaaq3ZOE7b2rQdlmCT6vyGwIynulIwzUO+5u3lO9lSXEtilJsZEwdA7+PY1nMalVj/zrxJA6DHaIjt3qq1H8yvT83hk5tOOeCxcJeTQd3j2GZ2oy6qh7XT2vZv2rZA6VKCu5jVRnSHG1bADcttrqiV9TvdevbrSmDDR3ZXIyIiIm1MAZFIGwkGREmRBng91mBnnUGUFt38+zLiyMxIx7FuFv8v/BWmOr6huh0GRDsDAdGQqAproJ1vcQ97A6LtDZGYcT0gdSB4Gw56fkOTj4c/30QkDfzqlL7ERbjhyo/xTfu/5nNqJt0LV38BWSe0ev0H4nY6GNAt1lrKcwDDeyYABhuiR1sDW+a0WW3S9eyzi1lX4HTBiJ9Zv1/2oq2liIiISNvrIv/HI2K/4Bb3MVGRcGcp3LYTIhNtrqp1pMaEExuxd/ZNTloMrP+Qnxkf87D7cXz5S22s7sCCO5gNCA80ek5o/wFRcIlZlddN/fXfwS+/PuQW3O+tKGB3VQNPRT3JVQtOgTXvgGGQnRxNn5RoEqPcpMe1k/5LZz9i/fOEG/cZDvYhmtt0jDWwdW4bFiVdTXAGUWTYgQPLTmnEpdY/t34J5dvsrERERETamAIikTYSnEEUH+m2eliEx3baXhaGYTQvM3MYkJkcBQPOZI1zIE7DpPu834G30eYq9xXcwSzTWWwNdIAZRFFhTsKc1o/x8rqmHzgbvt5cAsDQsN0YniqrKS3gcBh88OsTmfu7U4hwt5MPwiN+Br9aApPu2mf42F7WrLs3S/tgYli9Uiry7ahQuoDgNvdDGlfBkyfC+7+2uaI2kJgJZz0EE2+3ei6JiIhIl6GASKSN7BMQdQHBgCgzOZpwlxOGnMvfEu6i1IwlqmIjLHjE5gr3FZxB1M1vNW3uCDOIDMNoXmZWXnvowM00TRbnlRFOIwmendZg6qDm49HhruZd0doFw4DU/uDYN7DqkxJDj4RIdjVFsSl8iDW46jUbCpSuoKHJ2sUs0ayC3auhLM/mitrImKvg5N/bXYWIiIi0MQVEIm0kGBANNrfAfy6FL++3uaLWlZMWs88/AYhK5u6my6zfz/87eNrPlvfBGUSJjbusgYTeNlZz+ILLzJLm/wkeGwW5sw543rbSOoqqPQxw7sEw/VaD9Ji0Nqw0NBwOg8cvGUm4y8HtVefwfp+74KSb7S5LOqlgD6JoR6Bv3CGWcIqIiIh0dAqIRNpIRWAJUE92w7r3IW++zRW1rvNG9eCCUT25fmJO81hMuIv3/cfT6IoFnweqd9tY4b6CM4iaUodC+hBIyra5osMTnEFk1hRB6Wao2nXA8xZtLQVgUkqZNZA2qMMucTy2VwJ/v2A4S8yB3JA7gHV7au0uSTqpYA+iaAIz9NxRNlYjIiIi0rra9x7OIp3Inmprd6kUZ2CXqU66xX1QWmwEf79g+D5jMeEuwKDeFU+Y2wVNdfYU9z8aK3bxh/qHWO/shXfKPyE5xe6SDlswIKpxxFkDdaXsqqynsKKBUZl7m6AvyrOCoXGxRVAJpA5o61JDaurwDN5etpN5G4v5dmspg1LCrO+nQF8lkVBoblJtKCASERGRzk8ziETayJaiGgAyzUBD3ZhUG6uxR0xgZ7Onhr8Ff9gG3Ycf+gVtpOGrxzjH+TW3uV8juT314TkMwSVmlVgBUX1VMWc/9jXnP/kN20qsmTWmaTbPIMph//5DHdXoQADWtPZDeHQErPi3zRVJZ9O8zT1aYiYiIiKdnwIikTbg9fnZWlyLAz8ZOz+2BgecaW9RNogNtwKimsDOQHZ7b0UBQ+76lOLvPgdgiyMLR2SczVUdmWBj6TLT6vW0ZlMeJTWNmCZs3GP1eNpZXk9hZQMuh0Fc/xMh50eQcaxdJYfMyEBA5C3aANWFULDU5oqkswnuYhZBYOZnmGYQiYiISOelgEikDeSX19Po83OKOxdnXTFEJkHfU+0uq83FRgSWQzV4ba7E8vyCPByeCrIaNwHwcPp9Nld05BIDS8xK/FZA5Kkqbj5WGGi8/W1g9tDQnvGETbgJfvYW9B7ftoW2guG9EnAYML8usOPczmX2FiSdToPX2sXMcEdCdFqnXxosIiIiXZsCIpE2sDmwvGx65GJr4JifgLNrbHf/fcElZscWvQcvTYVlL9pWS0mNh+92VjLOsR6nYbLZn0GPXh2jMfX3BZeYrS6ztoNPMmpIiQkHoLDSmvWwMr8CgLFZnas/T0y4i/7psXzn74OJA6p2tqvG59LxNQRmEOUNvQlu2QQTfmdvQSIiIiKtSAGRSBvYVGQt9XHEpEBkIgy90OaK7BETWGIW5ymAvHlQtN62Wr7aZM20mRJrzR6KH3wqN5/e8Ro3B5tUr6kMp8BMpikqlWsn9AGgIDCDaFup1YtocHwj1JbaU2grGZmZSB0RFEcGwr2dWmYmoRPsQRTpdtpciYiIiEjrU0Ak0ko8Xh8VddbON8EZRLnH/A5u3gi9xtlZmm2CM4jK/YE+HvXlttUyb4MVEB3vyAUgdeiPCHN1vB+JidHWDKK1ZhY/T3iR7Js+oVeS1Ug3rHgNfHk/hSWVAIwqfhf+3gf+e4tt9YbayN5WH6LvzBxrQH2IwDThvevgpbOhsX3sFNhRNTepVkAkIiIiXUDH+zQk0kFc9eJSJjwwl53ldRTvtnaO6pceA64wcHTNRy/YpLrEG20NNFTYUoffbzJ/UwkApcf9EY67HrJOsqWWlspKjibM6SAtNpznrxxDXISb7vGRJFHFw+W/hi/vY3j1PACSvXusF0Wl2FhxaI3snQDAl7W9rYH/mUFU3+jDNM02rspmue/BypmQNx9WvWZ3NR1acJv7fkvuhOd/DHlf2VyRiIiISOvpmp9SRdrAyvwKqhq8LP7sDZ4q/TmTHMvISYuxuyxbBWcQFXsDW0XbNINodUElZbWNxIa76HvCuTD5rxCdbEstLZUaG87nv53A5789mR4JkeD1kLP+Ce53P9N8Tj8jn0i3k4i6QmsgoZdN1YZedko0iVFuFntzqEsaDN2HNx9bmV/BmL/O5jf/WQnVe2ydsdZWNhcU4f3k9r0Di54Ev9++gjq4YEAUXbYWdnwDnmqbKxIRERFpPQqIRFqB1+enxmPt1NVr3dNEGR6mOReSmRxtc2X2CvYg2t0UDIgqbKnjy8DyshNyUnA7O/6PwczkaOIjA03P37ic6AX3c7rT2tFr/vC/80/v+fROisKoyLfOie88AZFhGIzOSmKj2Ys/ZzxphX1YH+x/+8ZKajxe5uQWYL48FZ6ZZC2/6qSW7yjnx48v5s6qaXjSR0BYLJRshK1z7C6twwpuc+/0Wf28cEfaWI2IiIhI6+r4n4xE2qFgOASQ4K8AYF7MjztFGNESseGBLdltnkEUbFB9resD2DIXvI221NEqjr8eDOv77J/ec/lP3WiacJGZFAmV1lLHzjSDCOCXp/QF4M1lO1lbaPVb+vunG9habDXnrmv04asth7ItULbVtjpbU0VdI9fPXE6T3+BVz4lc6L0H37GXWAe/fcLe4joo0zSbt7l3egMBUVjXDvlFRESkc+van1ZFWklV/fcCIsNakpCQ3M2uctqN6HCr0WuFGYNpOJqDjLbU0ORj1c4KulPKiA0Pw7/PheCHv84g60Q471nejZ3O496f8O1Wa9eywfEe8HkAA2Iz7K0xxEb2TuTs4RmYJtz7/go+mPkYzy+wgqDk6DC8uKgMS7dOLlxhY6WtwzRNbn5jFYWVDWQmRxEf6WZVQRXPNf4IEnpD9smdeuZUa2nymfj81p+b4dUMIhEREen8FBCJtIKqhiYAHIZJAtYshtQ0BUQup4NIt5NCktl5fT78bkOb17BiRwVNPpPJ0RutgYwREBHf5nW0qiHn8XWvX2ICl3pe5UH3EwwKK7KOxXa3GqV3Mn84YwDRLj/3F87g7E1/YryRy30DNvHnnssAk83u/taJBctDfu/tpbXcOWsNG/fY059mRX4FX6wvYrhrO68PX8UTJ1sB9X2LPHwz5Qs44QYwjAO+1u83ue/jdXywqrAtS+4QgjuYARhNwYAoyqZqRERERFqfAiKRVhAMiI5JduA2rA8ZvXv1tLOkdiM2wgUYVHl8P3hua1icVwbAGdGbrIHsCbbU0dp6JETgxcnVzo84z/kVPSKbYOw1MOwCu0trFT0To7h24kDm+o8F4Mm0d7lo1z84e/t9nOVYxKKGTOvEgmUtvtfcDUX89o2VrFm1hMq3fs3nj9/AlkUf8reP17f42kdjw24rmPpZ8ia6f3MXx5fN4qIxvTBN+O0bqymvDSyhPMCSzuU7ynlq3lb+8sFa+Ohm+O8tbVl6u+YJBEROB9BUZw0qIBIREZFOTAGRSCsILjHrEW79rXOTI4LJw7PtLKndCO5kVtPg/YEzW8fibaWAyZDGVdZAJw2IMhIiAYN8Mw2AtPhoOPPv8KO/2FtYK/r1qTn86Op7MR1u4ityMRqrqc8Yzyf+MXxcHlhWt2sV+Fr2vfeXD3J5Z3kB2966nfg1LzPD/xY3ut7h680l1DW2/fd1Xok1SzHHFZgllpTNnWcPpk9KNLurGvjD299hbvwMHhsFGz/d57XrA+FSWE0B5uq3YPcaLUcLCM4ginWDEZlohUNaYiYiIiKdmAIikVYQnEEUE+6CnNNw9z0Zp+PASzy6mtjATmbdv/0LvHR2m/aEafT6Wba9nN5GETENu8Dhhl7j2+z+bckKiGgOiJKbdtlZTpswDIPumf0xjr3YGohMJPzC54gKD2e9Nx2fO8bqN1V8eDN9cgurKNm5GfK+ag5NSms8gUDGZKzDWiK5wH0cpa7ueLx+vv1uPcz/O2ya3Rpv8YC2FtcA0N2/2xpIzCYqzMWj00fgdhp8lruHosVvQl0pbP1yn9cGl8UNcORjNFRAQ+VBl6N1NcGAyOUOg99vgdt3QWSCvUWJiIiItCIFRCKtoKreCogaY3vDz96GS96wuaL2IziDKKZkJeTN37uzVhtYU1hJQ5Of0yICAUHPMRDWOZeM7A2IUgFwbpsPdWVdY3bIpDth5OUw/T84EnoypEc8Jg5K4gZbs0Aq83/wEnM3FHHmo1/x4TN3wktT4KPfArB8RwUAJ6bUkWZU4DdcDLn+DZaOvA8A37dPwJz/B9880mpv739tDcwgSvQEnqWkPgAM6RHPGUO6A7DGOcg6tmfNPq8NLk8baOywBtKPaeVqO46GJmsHswi30+ZKRERERNqGAiKRVlAVWD4VF+myuZL2JyYwg6jOGWcNtOFW98H+Q5OjOnf/IYCMhAhgb0DEuvfhgWzY9LmNVbWR6BSY+ij0HgfAsJ5WE/Lnu90Bt+bDgB8f8uV1jV7+9O4aImngHOYC8EbVEMhfTNK8PzLekcuUBCtQcWQMJz4+jh8NtnZJe7D0eGuHvrz5UNz6TdibfH52lNYRTiNhdXuswaS9y1mH9bDe+6JaKyj6/hIy0zSbZxANdARCs/Ufwea2m/3UntU3WjOIovVjXERERLoIBUQirSA4gyi4nEr2igl3A1DniLEG6iva7N7BgCh3zL1w/TIYe3Wb3butRYW5SIhysyOwxKxZfNdrlj40EBB9u8cBzh9+Jh/5YhMFFfVcHrOEeKOO7f40/vBdGhXfvsKoPW/xE8fXjHYGQsbAEsXRmYkkRrlZX59AeY9J1rElz7XK+/m+neX1eP0mOe5SDEwIi4Wo5Objwff+eXECGA6oL4MaK0gqqWmkvM76WdU8g6ipdr8+RV3V9lJrZtZNvufhiRNh/X9trkhERESkdSkgEmkF1YEZRBP3vAj39oTZd9tbUDsSG2xSbQQDorabQbQqvwKAEX27Q0qONdOkE8uIj2zuQdQsoZc9xdhoeM8EAHJ3Vf1gE+mNe6p59qs8wORX0XMAWJRyLiYO3mkYBcBk51JiB0yAoRdA31MBcDkdTBpkzSL6OOJM62Kr32z1JX3B/kNj4iqsgaTsfXoIHZMRh2FAXqUfb2JfazCwzGxTYPZQGE30Mb7Xo6rih5fgdQWfrN0NmJzoWwx7VlsBm4iIiEgnpv/bEWkFwSbVcWYVNFbbXE37ElxiVkUgIGqoaJP7Vjc0URrY7rtvanSb3NNuJ+Qkk29ksP20p62BiAQIj7W1Jjv0TIykR0IkTT6T4ndvg0dHwravD3ju0/O34vOb3JS1g9jKDeCKJGPiDADuy02i1Iwl0aghLT0DznsW+p3W/NrTAgHRi7t6gTPMmq1Tnteq721rsTXLpar7eLjqczjj/n2Ox0a46ZNifb+XxvSzBvesBWBDICDKcRTgMvx7X1Sxo1Vr7ggq65pYsLmEYcZWYj17ICwG+pxid1kiIiIirUoBkUgrCC4xi/EHwqHIRBuraV+CTaorzEBI00YziLaX1gEwPKqU2E9ugoWPt8l97fTHMwex9K4zyUxLsAa64OwhsHY3m9Df6sVUvXsLlG2B7d/sd15RdQPvryzEgZ9rPS9Zg2Ou4rhjcqyAyXTyqW+0dc3cWfu9/vicZJwOg02ljTSmBJo9FyxvnTcVEGxQ3TMtFXqNhawT9jtnWGAG1RZHttXA2hkOwMY91uyjoekRLPIPJN/Rw3pBZX7XaGZ+CJ+v20OTz+TiuO+sgZzTwB1hb1EiIiIirUwBkUgrCDapjvJWWgNRSTZW074EZxCVmdHWkg1fU5vcN7/MCojGxRTByn/D6rfa5L52MgyD6HDX3l274nvbW5CNJvSzlhN+UZdjDWxfsN85M7/dQaPPz6k9/ESGuSAiHk66GafD4KIxVrj2sd9qfM2yF/b73o2LcDM80PNne8Qgqx9QKwegwSVm2YeYFTck0Kj6ec6BG1bA+F8Ae7e47zFkAj9tvJNpXmsnNjxVbTazr736eLW15O5HjqXWwMApNlYjIiIi0jYUEIm0guAMovCmQEAUqYAoKNiDaI5rAtxRChfNbJP7bg8ERAMjAh/Yu9JsmmAY1srLndqz4/um4DDgoyprC3jyF+8T8DQ0+Zi5aDsA0yaMgWvnw88/aw53LxjdC6fDYKF/8N6Lzv/7fvc5MccKop4K+xncuqPVG6HnBWYQjd/5Aix+BurK9jsnuIvb6sLK5jHTNNkY2OL+5MDsqrJGF/6owK53XXiZWVVDE19tKqGPUUhyfR443ND/dLvLEhEREWl1CohEWkGwB1FYo2YQ/a9gQFTVaIKj7X4E7QgERL2dpdZAQheaTTPuWmuZ4+n/z+5KbBMf5ebYXglsMnvgccdDUx3sWtV8/L+rd1FS00j3+AjOGNINHE5IG9h8vFt8BH+eegyXn9gP/5kPQeYJMPaa/e5zQiAgmru1Dj/GfsdDqbqhiaJqDw78dFvxCPz3d9BYu995g7vH4TBgT5WHvJJalm0rY+GmPVR7vLgcBoOSnSRHhwHgic6wXtSFG1XPXV9Eo8/PT+I3WwOZx1uzyUREREQ6Oe3BLRJifr9JjcdaYub0BGarqAdRs+A29zUNh95NKtR2BHoQdTOLrIGutNzqmHNg8E/22d2qKzqpXyrLd1SwPmwIw5sWWMvMelo9hb7cUAzAlUPcuL114IzZ7/WXjs8M/G4wjL3qgPcY0TuRSLeT0tpG1u+uZnBGnNXPpxX+7LeVWN/Tx0RXY/iarMbYcRn7nRcd7iInLYaNe2qY/8/LOcf5NXc0XQmcyFkJOwh7oBfvO7pzMvfz3Yi/MK5fBiRm7nedw7L2PShYCqfdbYVsHdAX66yfEWnZQyHsYug5yuaKRERERNqGZhCJhFhNozfQ39XE7DkWeoyCqM69nfqRCPYg8jZUwxuXwUtng9/X6vfdXmbNrEhs3GMNdKUZRNDlwyGguVH157WB7d6/16h66TZradYFhQ/AfT3guzeO6h5hLgfj+lgzBmtm/83aMW3Fv1tQ9cFtCfQfOjE28D2dmH3QUOb4vtbPIAOIM+r5S9jL/CfsHh6p+wNgUu9OxIuLjUYWpPYHV/iRF9RQCW9eDt88Bhs/OfLXtwNen595G62wMGfcmXDOEzBmhs1ViYiIiLQNzSASCbFg/6EwlxPnpZ2/EfKRCi4xq/AYENwJqqGyVZfhNfn8FFY0ABBZV2ANdqUeRALA8J7xRIc5+dLTnxu69SMspT8AhRX1FFY24HQYxFdvtE5OzDrq+5yYk8KXG4opKi6C6i3WjJqRl4bgHexr6XYr1Do5LNcayDz+oOfeMnkApw5MY1BTFHywmPiGSsY51lkHh13Ee+bFsKSGgsBzciS8Pj+/+PdyTqp4j8uDg3tyYeBZR3wtu63Mr6Cyvon4SGtJooiIiEhXooBIJMSq6q2lU3ERbpsraZ+CM4iqmgzMiGiMplprx6RWDIgKK+rx+U3iXY04GgLL/uIVEHU1LqeD7NRo1hT0Yd6PPuJHg9MBWLrd+p4Ylw6O8sBsnNSBB7vMD5rQPxU+WsfHZRlMcdNqW91/u9UKiI5pWGEN9Dn5oOdGh7sCM6gmwsAtVk2FK6DXWOgxkrj5W4D11JXsgHnvW7P6Jt52WHW8+M02Zq/bzc1h7+2dl7xr5dG+rTa3fut2IubcQY8L/sbcDVbfuAsz63AVrYH0YzrsUjkRERGRI6UlZiIhFmxQHRep/PVAosP3/rmYEQnWb1p5K/Bgg+rUpCS4fTdcvwwi4lr1ntI+ZadYvYXySmqax5YFlpf9KCWwA1h87xZ9f/RPj+XEnBRW+AI7pu1ZCzVFR329Aymp8bC5qIZUo4LYqk2AAVkTDu/FTjf0Hmdtd99jJAAZCZEAVFeUwty/wqInD+tShRX1PPT5RvoahfQ3dlqDDjcEn+12bHdlAze9voLcF64ja+cstj53JXPWF3OMkcc1Nf+Cp06CL++zu0wRERGRNqOASCTEgkvMJhor4N4e8OpFNlfUvoS5HM07JtWHB3oztfKW2tsDDaozk6LAHQkpOa16P2m/slOigcD28D4v1Fc0zyAaHbXLOil98MFefthuPK0fhSSz0t8XTJ8VuoTQosDsoTOSi8BwQLehEJ181NfrHm8FRKtrAsFYQwU0VP3g6+7+YC11jT7yHb04wfMoj6b+Ge4ohp88ftS1tJVfzlzGeysLm5faPVByPJOKXuKj8NtJLVlindRzrI0VioiIiLQtBUQiIVYV2J0r3VULjTXg89hcUfszMtPa1S3fnW0N7Mlt1fvlB2YQ9UqKatX7SPuXnWJ9D/Ta/i78tRveWb9m3S4rCOnrDwSVaYNafJ8xWUkc3zeF/9d0iTWw/GVrJlGIfLu1FABn/9Ph93lw7jMtul6PwAyivGoDM7jrYuWht7rfXFTNp2v34HQY3H/eUHaTzDNFg/H6zeZz6ht9fLx6Fys3bqPx/Zth6QvQVN+iWkOhsr6JFTsqiKeGHob1Z7nYP4gv/cO/d5ZhLcETERER6SIUEImEWHAGUYozsIQlsvV663RUY7KsD6ArGntYAyH84HwgwRlEP6r/GGb9CjZ/0ar3k/YruMRsU20E+Jvw7N6A37QCkqiKQIPqtGNCcq8bJ/VjqTmQj/3jwPTD3HtDcl3YGxCN75MMkQmQdvQ9kwBSY8NxOQx8fhNvdDdrsHrXD9RgzWIal53EtGN7EBvhotrjJTcQuOH18PDsjfxy5nLmvXw3YcufhQ9vgoeHwAZ7dzlbW2D1Gjopzuo5ZSb0ZuzALNaYfdgVf6x1UvoQ689WREREpItQQCQSYtWBGUQJhrWtems2X+6oRmVafyZflKViGs7Wm2X17ROwZQ7bAzOIcmqWWluOF29onftJu5edbC0xW1ZrbXkfXpmHAz+jsxJh+EUw4meQMSIk9xrXJ5mxWUnc23QRy9LOgyn/DMl1S2o8bCqyAuhx2aH5+eJ0GKTHRQBQFxZY+lm955CvWRLo3XSD8QbOmedyZfoWAHYvehseHIT51s95b4W1a+Bkl9Wou45IqCuBj24OSd1Ha3UgIJoQb71HI30IT/xsFK9ePY60s+8GVySMuMTOEkVERETanAIikRALNqlOoNoa0Ayi/QzpEUe4y8GX9X3Ycs0m+NnbIbt2YUU9Zz7yFR9/8iF8ciu8cg67y6wPg/GewIyIhN4hu590LPFRbpKiw9hppuJ3hOEyG8kwShidlQSjr4Rpj4e0R9U1E/qQb6ZzxZ6fUu1KCMk1F+dZwcyvkpaQ+PoUWDEzJNcNLjOrcgV6GdUcOiBaus3q3TS0ZgFsmcPwQK60otiE6kIa85dTVO1hQEQ5A9mGzzQ43XO/FQpX7YSqQ89Qak3fBQKiIc7AMrr0IYS5HBzfNwVnzilw+y4Y/0vb6hMRERGxgwIikRALLjGLM4MBUaKN1bRP4S4nw3sl4MXFsp21Ib3215tLyN1VxdwVe/sajWhaQYzDQ3jFZmsgMSuk95SOJTslGj8OqqKsoLCvsYsJ/VJa5V6nDkyjb2o01R4vry8OhBGmeegX/YDgzJ0TondB/iLYvbqlZQKQkWDNICoh8DPrEAFRQUU9BRX1pDkqia5YD0C3YycD8O5uK2AKry0kkSom9UuAIeezyDWKnWYqK095EW7ZAnHdQ1L30VgTCIgyzMB7TP+fZYWG0cYViYiIiNhPAZFIiAVnEEX7An04tMTsgIJ9iJZsC+0W9+W1jQA0VZc1j/3YsZhrkldjNNZY4VBay3epko4ruJPZ2sY0AMbElJLp3Q6714A3tMsdHQ6DayZY290v/eq/+F85D756sEXXzC20frZkG9byLVL7t+h6Qd0DM4i+iJ0G1y+FU/900HOXBGYxXZRkLSuj21AG9MkmNtzF7oYwKqMyATjBsZbxY8bB+c/x7sCHAPisvj9Et04gdzAer4/7P17PO8t3Ur1jNZdVPsUkxzKMyz6A36yFnEltWo+IiIhIe6SASCTEquqtHkT18TnQYxTE9bC5ovZpdKAPUdTmD+GZU+Gzg38YPRJldVZA9Jl/NMuH3A7A6c6lnG9+Zp0w4lJw6EdfVxYMiFbWWSHFuLhSeP/X8OQJsOzFkN/vJyN6kBYbTmRtAY4ts2Hp8+DzHtW1TNNsbgKdXJdnDaa2rEF1UEYgINpQHwsp/SA89qDnLg7MYpoUbm0RT5+JuJwOfn6itTPhW1VWCPu3sGc4PmIbAGMC/ZKC4VJb8flNbnxtJR/OX8itb61g25cvcZXrY66JmEN8dBjE9zzkexURERHpKvQpSSTE3HVWX43t4++Gq+dA1gk2V9Q+jeydiGFAVXUNFCyDnctCct3gDKJaIpnpm0Qp8cQbdWTUrAHDAceq8WxXFwyIlvn786FvPKnpGVCw1Pr+OOackN8v3OXk9rMG8bF/LGVmLFQVwJqj67u1s7ye6gYv8c5Gwmp2WoMpA0JSZ4/AErPCigNvQ2+aJt9sKaG42sPSbWWAyYC6pdbBvhMBuOm0flxxfBYPeH/KAt8xRNOA67ULobGuuaH2up2leGf/P3jlXGhqCEntB2OaJre/u5o5a/N5zf1X3nTdyYObAjPH/Cuhcmer3l9ERESkI1FAJBIiNR4vPk8dD1b+lmjqiQt32l1SuxYf5aZPSjTrzUDD6D1rW9ybBaCstqn59/9dU8zVnt9wle82/D3HQr/JtvY9kfYhGBDN8Y/kZvMmeqTEWwf6nAIxaa1yz6nDMzhhYE+e9f4YAPOzP0F9xT7nzN9YzLK8Esz3fgWf3n7A8GRtodU755SUwGujkiE6OSQ1do+3ZhBVlJfB3Pvgo9/tc/zVxTu4+JlFnHD/HDbuqWG6cw4R9XvAFQG9jwPAMAzuOnswl544gFvDbqM+7VioL4Mlz9A7KYq02HBqfQb+pS/Ali9g18qQ1H4wCzaX8vqSfI51bKGXo5heRhFLmvqwyD8QByY8fAxs+LhVaxARERHpKBQQiYRAaY2H8fd+wc/++R6pZhnPh/2duAi33WW1exkJkWwxM/AbLvBUhuRv88sDS8wucH7JVf63qCEST+ZEHDM+hwtebPH1pePLCmx1DzA+Own32resL4Ze0Gr3NAyDv54zhNdd09jsz8CoLYIv7m4+Pjt3D5c9v5h/PPM8xsp/w8J/YRbsP6su2H9ofGyJNRCi5WWwd4lZeb0X5t0PS54BT3Xz8Q9WFQLQ6PNbtSRNgtRBcNrd4I7c573+acpgvrrjbCKv+ggufAXGXoNhGIFlZgb50UOsk/MXh6z+A/muoAKAqb2sWVFF0QOpJZI3vKfsPaliR6vWICIiItJRKCASCYENu6up8XjxVFg74nSjjLioMJurav9SY8NpwkV5VJY1sGdti6/ZHBC5vuJ37jfpZxRwfE5ghoU7osXXl44vMsxJ93jre+G8jFIo2WgdGDilVe/bPT6SKSOzuL3pKmtg6QvNSytfWrgNgB85ljeff8fKOPz+fWfVBfsP9Y5zQkw3SAlNg2qAuAgXMeEu6ojA7w6EaNXWz7TKuqbmhvKPXzySq0/K5vZzj4NrvoTxvzj4RcNjYPDU5gBpbJa1zGyxN8c6nr8oZPUfyJYia5fEQW7rffToO5Qwp4O5zuP2npQ2qFVrEBEREekoXHYXINIZFNdYOx+lO6zlHyUkcEykZhD9kLRY60P6LncmyWyG0s0tvmawB1HPsDpognJiOKFv2+6YJO3fpcdl8uma3UxddJY14IqEiLhWv+/I3om8vHAQ88JP5mTPPFj1KnkRA/lqUwmGYXJp0jqogl803cQn3+7A54f7TnDAvL/Bec+zNjCDKGzsFXDhb4+62fWBGIZB9/gINhXV4IlIJbKpFmp2Q0oOX24swuc36Z8ew1k54Zw1dNBRbQU/vo8V1n5Q1pPpTqwZRKYJhsG3W0tZklfGdRNzcDpCs8385uIaAHr4rdlPsT0H8c744/GbJjS8DUXrIOukkNxLREREpKPTDCKRECiutgKiiT2sv+3v0TOTCLd6EP2Q9LhwAHYZgQCnqqBF1/P5TSrqrR5EyQ7rg2FTWCJDesS36LrS+Vx3Sg6zrj8Rzrgf3FFw2Xttct+RvRMB+FvNWTT+9D9w6p+Y+e12AC7ObsBdtQ2cYZz1k0twGPDa4h143roWcmdRvfojdlVafYkGdgvsuuUM7d/zBJeZVbsDz2SNNfNm9roiACYNTIMnToBHhkPxhiO+fv/0GNLjwlnWlIXPGQG1RVCUS0OTj+tmLufBzzcyZ31RSN6LaZpsKbJ+DiTWW3/GJOcwpEc8w3omQM5pcPyvjyroEhEREemMFBCJhEBwBlE3pzWDqFtGbzvL6TCCM4i2+tIgqU+Lt5qurG+yJiPgJ6yxAoDf/uS4kM1GkE5o/C/hj4XQe3yb3K5XUiTJ0WHk+nqyOmosDa443lxm9d66MnW9dVLWSZw9pj+jMq0wqTC8DwCVG78GIDM5ithW6nGWEdjJrNxh3ZvqPTT5/Hy5wQptpmRUQ3UhVO+GhCP/OWcYBif3T8VDGHkxI63BzV/wwapCygKz/1bsKG/5GwH2VHmo8XhxO0zCKrdZg8k5Ibm2iIiISGekgEgkBEqqrQ82KVRYAzHp9hXTgaQFZhC96psEN6yAiX9s0fWCHzAzIhoxTB8Axx3Tr2VFSufXhjNIDMNgRGAW0YodFcxaWUBlfRM9EyPpW2YFQAywdjobHejXs8S0euQ4C5YAMCmlHB4cBK9fEvL6MgI7mRWZCQDUlRXw39W7qG7wkhwdxqC6QOPszOP2aUx9JCb0TwXgM88xEB6H2Vjb3INpsLEN18b/Wu/tzSta8lbYElhe1j/RgTHyUuh7KsT3atE1RURERDoz9SASCYHgDKIEf+Bvvltpq+zOJi3WCoj2VDVgmiZGCz+oVwQaVGdGeqAeCItRY2ppd0ZmJjB73R72bFhE5J7ZnOdIYcBx12Ck3wQb+kH/MwAYHZhB9FFFLy4EkqvW4sbLmKgi2F4IVd1CXltwidlOr7Us8+NvV3Jz00oAJg5Mw5H3rHVin4lHfY8Tc1JwGPBoxfH85JY72VXjZc2nCzEMuMP1b44ry4UywB0Nfh9e0+DNZTs5Ob2RDHc1dBsOjh/++63NgeVl3dPSYMrDR12viIiISFehgEgkBII9iApG/o6MuKuh2xCbK+oYgkvMGpr8VHu8xLVw2UxwBlHP8HorIIpKammJIiE3opcV/DTkLeIS91v0CRvG0HF/hfC+MOCM5vOCS8zmlSbgS0gkrKGcQcZ2hocXWyekDgh5bd0DS8weLxvDM96B7DaTSIxy0z0+kp+Pz4CX51sn9j36gCghKoxjeyWwfEcFczaVM3+j9X6uHezluC25e09sqoXiDbyyOZK7P8jl7vgPudzzKgyfDuc8+YP3CQZEOWkxR12riIiISFeigEgkBEoCM4giew4DNUQ+bJFhTmIjXFQ3eHG/PAUqt8BVn1n9iI5CcIv7itj+MH0heBtCWa5ISAzvFY/TYbDUb21RP9K5hXD3/rPnEqLCyEmLYXNRDbmOAQzlWybHbqX7ti+sEzJPCHltPYIziJpigVguOy6Tv0wLBN6LnoamOoiIh/ShLbrPyf3TWL6jgrveX4vPb5JCJdc6ZgMw2zeCYWku0kqXYBYs5ZVvrV5Hw+oXWwvjD7NfVDAgGhJbC421EBbdoppFREREOjv1IBJpIZ/fpDQQEAWXTMnhC/6ZmTVFUFsMlTuP+lpltdYOZjGxsZA+GHqMDEmNIqEUFeZiYLdYNpi9qDYjCffVwnM/gor8/c4NLjP7pNIKSa72/QejYgdEJsLQ80NeW7f4vUsyU2LC+f3QWvjmX1BTBOs/tA70//FhLfE6lJMHWH2Icszt5EZcydKIX5K46W0AXvGdzjqH1Ttsz7pv2FpcSxJVDDe2ANCUmANz/gqe6kPeI9iD6OS1f4J7M2D1Wy2qWURERKSzU0Ak0kLldY34TYg2Gkhe8zyseRtM0+6yOozgMrOa8EA/lRYERMEZRElRYS2uS6Q1Hd83GT8OKmL6WgMFy2D7gv3OCy4ze8s3gcme+/GnDwscuOKom0QfSrjLSa+kSNx4+Xff2cS8fDp8djt88Rf46Ssw9V9w+v9r8X2G94zn16fmcPrxY4h0BgYjk1g96q/M8w/n6/pMABp3LAXgd3224zBM1vozqX37epj/AKx976DXr2pooiiw9De6Zps1eBS7romIiIh0JVpiJtJCwf5DAyOrcH52m7X8Ysh5NlfVcQR3MitzpZIGLQuIAj2IRtR/C/M+guwJ0HtcCKoUCa0bT+vP8F4JZBSeAt+usQaH7D8jKLiT2R6SOCnDQUTht2A4YcyMVqvtX9NHsr20loHvXbZ38NiLrZ9tIy8NyT0Mw+Dm0wM9lAa8AqWbYcSlJDe4YcEcPi7rwe1hkNGwhXAaOStiNQBf+EdQVxnBra48fIuexjl4KkTEU1nXRGV9E72To4C9y8syY00c1YXWfbTFvYiIiMghKSASaaFg/6G+kbVQi7a4P0LpcdYMoj1GKgMhJDOIBlZ+BWvfAeNPCoikXYoJdzFlWAbk3AyN1TD6SnDu/5/krOQoUmLCKKlpZPzIEeC8H6oKIL5nq9U2vFcCw3slwHvfG+x1eH1/jkr/ycBkALqHm6TFhrOzOpF8M5UiM4FJGV7iCwLNsftN5u11fm5yvk3Enu8o/9swFkRMoHvtOj7zjWZRxqVMOzaDBRv3kGPs5KcxhVAORCapab2IiIjID1BAJNJCwRlEmeE1CoiOQrAHUYE/8OGtRT2IrIAoxl9pDUQlt6g2kVYXlQRTHz3oYcMwuHvqEBbllTJl7ABwD27D4gIGnNninkOHyzAMxmQl8dHqXUzwPEz3+CieOS0dFg2D4nXccOlPGb21nNvfvZvrqh+jr2MXU+rfBwe86Z/IyvwKVuZXMMrYwOzwu61wCCBtUJvULyIiItKRKSASaaHgDKIeriprICbNxmo6ntRAQLS1KcEaaNEMIqtJdVRThTWggEg6gbOGdeesYd3b/sY/nQmr34Ap/2zT295+1iBGZiYysncCw3sm4HAYUDjGajrvcHJ8TgrH/e46dpVewtr5TxFZtYWk/sdzS7/JdF9Vw6K8Un7mrMPMd0BiNkbv4+C469r0PYiIiIh0RAqIRFooOIMozRGYtaIZREck2KR6fUOStb39UW5xD3tnEIU3aQaRSIsNmmL9amMZCZFcdWL2voMTfg9hUc1fGoZBRkoCGef+YZ/TbjwNoB8wHvx/bLOZTyIiIiKdgQIikRYKBkQpVFgDmkF0RIJNqlfWJMEtK476Ol6fn6oGawaRyxNYV6KASKRz+F44dNgUDomIiIgcEf3fk0gLldRYs1bifWXWgGYQHZFgk+oaj5e6Ru9RX6eyvgnTBAd+jAYFRCIiIiIiIkdCAZFICwVnEO0c80erZ0fWSTZX1LHEhLuICnMC8MjsTRx/3xd8uX7PQc/PL6tjTUHlfuPBHcx6RjRimH5rMDIx9AWLiIiIiIh0QlpiJtJCwSbV0b2HQ7c4m6vpmNJiw9lWWkfSN/cwy/k133w1AwbeecBzL372W3ZXNrDg1lOb+xcBlNVay8vcUfFwxbdQXw5Od5vULyIiIiIi0tFpBpFIC3h9fsoCM1dSYsJtrqbjCgY9YXhJNSqJrt56wPPKaxvJL6sHXxNpD6bDn+Nh/j+AvQ2q42IirS2tM49vm+JFREREREQ6AQVEIi1QVtuIaUK8o56k756FNe/YXVKHNCIzAYCK1DEADKtZAKa533l5pbUApBtlewd3f2e9NhDUJUWFtWKlIiIiIiIinZMCIpEWKAr0HxoSVYbjsz/CJ7faXFHHdOsZA1ly+2mccvYl1JrhpPmLoGD5fudtK7ECogxK9w5W5ANQGphBdLxvCcy9D/IXt37hIiIiIiIinYQCIpEWCPYfGhheYQ3E97SvmA7MMAxSY8NJSUjgC/9IAMy1+8/GygsERN2N7wdE2wHYWmwdG+9ZAPPuhy1zWrlqERERERGRzsO2gGjWrFn06dMHl8vFsccey7p16wBYs2YNY8aMITExkVtuuQXze8tM5s2bx6BBg0hJSeGhhx7a53pvvfUWmZmZZGRk8Nprr7Xpe5Gua09VAwB93YHAIqG3jdV0fKmx4XzkGw+AueZd8Pv3OR4MiDK+v8SsrhQ8NazbVQVAz6Zt1njaoFavV0REREREpLOwJSDasmULV155Jffffz8FBQX079+fGTNm4PF4OPvssxk1ahRLly4lNzeXF198EYDi4mKmTp3K9OnTWbhwITNnzmTu3LmAFSpdcskl3HHHHXz66afceeedbNiwwY63Jl3MzvJ6ALJcJdaAAqIWiXA7WRY2ihozAkd1ARQs3ef4ttJgQFSyz3hT2TY2F9Vg4Ce2erM1mHZMm9QsIiIiIiLSGdgSEK1bt47777+fCy+8kPT0dH75y1+yYsUKPv74YyorK3nooYfo27cv9957L8899xwAM2fOJCMjgzvuuIN+/fpx5513Nh979tlnmThxIjNmzGDo0KFcf/31vPLKK3a8NeliCgIBUXez2BpQQNRicbGxPOf7MTuOvRniezWPm6bJtpI64H+WmAF7tm+k0ednUHgZDm8DOMMhKbtN6xYREREREenIbAmIpkyZwjXXXNP89YYNG+jXrx+rVq1i/PjxREVFATBs2DByc3MBWLVqFRMnTsQwDADGjh3LsmXLmo+deuqpzdf7/rED8Xg8VFVV7fNL5GgEZxAlNe22BhKy7Cumk0iLDedh7wWszJ4Bcd2bx4trPNR4vDgMiA5z0Gg68TkjISyW3UVFAJySGAjqUgeAw2lH+SIiIiIiIh2S7U2qGxsbefDBB/nFL35BVVUV2dl7/9bfMAycTifl5eX7HYuLi6OwsBDgkMcO5L777iM+Pr75V69evQ56rsih7CyvA0xi6gPfb5pB1GKpsREAFAX6OwUFZw/1SIzk+cwHGOB5iddOngO35fO562QARkYEgrp0LS8TERERERE5ErYHRHfddRfR0dHMmDEDl8tFeHj4PscjIiKoq6vb71hwHDjksQO57bbbqKysbP6Vn58f4nclXUGTz8/uQIhR+dN34MJXIDHT5qo6vtSYcMDEX7QeNnwCXmunuOAW91nJ0WSnRGPiYHOFCYZBbqBBdY5RYF1EDapFRERERESOiMvOm8+ZM4fHH3+cb7/9FrfbTVJSEmvWrNnnnOrqasLCwkhKSqK4uHi/ceCQxw4kPDx8vyBK5EjtrmzAb0K4y0li3zEQWP4oLZMaaz2bl629ClbXwa+WQGp/8gINqrNToslKjgb2Nq1et6sagPLJj5EVcw+Ex9pQuYiIiIiISMdl2wyivLw8pk+fzuOPP87gwYMBGDNmDAsXLtznHI/HQ1JS0n7HVqxYQY8ePQ74uu8fE2kt+eWBJU8Jkc29saTlrIDIoMjZzRoo3wZAXrEVBo1zbODsJZdxm2smlcUFeF6+gKcb/4BhwICMBEjJgdh0W2oXERERERHpqGwJiOrr65kyZQrTpk3jnHPOoaamhpqaGk466SSqqqp44YUXALj33ns57bTTcDqdTJ06lQULFjB79myampp44IEHmDx5MgDnnXcer7/+OqtXr6ampoZHH320+ZhIawnuYPajyPXwzWOwc+kPvEIOR3AGUT5p1kDFdmDvbKG+jt3Elqygv7GTTRUm4Vs/Y6RjM0OTTKLCbJ0UKSIiIiIi0mHZEhB99tln5Obm8swzzxAbG9v8q6CggGeffZbrr7+elJQUZs2axd/+9jcAUlJSePjhhznzzDNJT09nw4YN/OlPfwJg+PDh3HjjjYwePZoePXrgdDq57rrr7Hhr0oUEdzA72b8YPvsTrP/Q5oo6B6sHEeR5U62B8m34/WZzQJROCQBFRgo1/nAqHQkA/NHxMrw9A757s81rFhERERER6ehs+ev2adOmYZrmAY9lZWWxZcsWli1bxvjx40lOTm4+9otf/ILJkyezfv16TjrpJGJiYpqP/fWvf+WSSy6hoKCAk08++ZA9iERCIRgQdTetLdZJUIPqUAjOINrYmAxuoHwbxTUeGpr8OAyIb7L+vD3R3aERtnpTGOGoYHz1p7AaiEyEYRfY9wZEREREREQ6oHa5HqNbt26cddZZBzyWnZ29z5b23zd48ODmfkYirW1noAdRsjewtbq2uA+JpOgwnA6DHWZgiVn5NoqrrZ3MUmLCcVTtBOCEkcdyblkPPDv7QPVmTIcLY/hFcPIf7CpdRERERESkw2qXAZFIR1BQUQ+YRNcFtlbXDKKQcDoMkqPD2FETDIi2U1zVAARmF1Vaf959cwbwUPaxUPEgrHkH45ifQGKWLTWLiIiIiIh0dAqIRI6C1+dnV2UDiVTj9FoziYjvaW9RnUhqbDibqlPZOvQ39Ok/hJJqazlfakwYFFoziIgL7FSY0BtOvMmeQkVERERERDoJ27a5F+nIdlc14PObZLtKrYGYbuCOsLeoTiQ1NpxG3CztfRUMPZ+iWi8APaP8EJMKzrC9AZGIiIiIiIi0mGYQiRyF4Bb3Q6MrwIP6D4VYcCez4hqr91CwB1FcQiJctBr8fnAo3xYREREREQkVBUQiRyG4g9nO5BNhyhTwe22uqHMJ7mTWULoTNm4lsrgUiGseVzgkIiIiIiISWgqIRI5CfmAHs5SkJMgYZnM1nU8wCBpQ+A6seYnRkZOBy/cGRCIiIiIiIhJS+mt4kaOwraQWgKyUaJsr6ZwyEiIB2NiYAkBi4y4Ahm17AZ49DVb827baREREREREOiMFRCJHIS8QEJ2++2lY+DjUl9tcUeeSlWwFb8trEgHI8Fpb2ydWb4KdS6CuzLbaREREREREOiMtMRM5QqZpsrWkljCa6LP+KVhvwtAL7S6rU+mdFAXAdw3pEAHdjFJiqCOy3ppJRLx2MBMREREREQklzSASOUKltY1UN3jp5SjCwISwGIhOsbusTiUyzEl6XDhVRFMfkQbAMe5dOKutmUTE9bSxOhERERERkc5HAZHIEQouLxsZU2ENJGaDYdhXUCeVmWQtMyt0ZwIwKrIQo1oziERERERERFqDAiKRI5RXbAVEw6ICfXCSsm2spvPqnWwtM1vd2B2A44xc8HvBcEJMNztLExERERER6XTUg0jkCG0NzCDq5y6xBhQQtYqsQED0YvVovqQnw9LiOKloHsR2B6d+dImIiIiIiISSPmWJHKG8khoAepiB5U6JCohaQ+/ATmYr/TmsJIehsSXQ2BsSMm2uTEREREREpPNRQCRyhII9iJIbC60BzSBqFcEZREE13Y+HS1eDadpUkYiIiIiISOelgEjkCPj8JttK6wAou+gjoszdkNLP5qo6p2CTaoDRxnpOLF0FpT+F5L42ViUiIiIiItI5KSASOQKFFfU0ev2EOR1079YdHBl2l9RpxUe5iY90U1nfxI2udxi1bg3066mASEREREREpBVoFzORIxBcXpaZHIXToa3tW1twmdkms6c18P6voWCZjRWJiIiIiIh0TgqIRI5AMCCaErUW/vt7WP9fmyvq3IKNqjcGAyIAQz+2REREREREQk2ftESOQDAgGmushcVPwda5NlfUuQVnEG0zu+0djOt5kLNFRERERETkaCkgEjkCWwMBUS9/YAez5Bwbq+n8eidZAVF+WODPOSwGolNsrEhERERERKRzUpNqkSOQV1IDQJJnpzWQpIbJrWlwRhwAqalp8LNccIWDod5PIiIiIiIioaaASOQwebw+CsrrMfATWb3dGtSOWq3qmIx4XrxyDH1TYyA+yu5yREREREREOi0FRCKHKb+sDr8J/cIrMXwecLghvpfdZXV6pwxIs7sEERERERGRTk89iEQO09Ziq//QuLhyayAxC5zKWEVERERERKTjU0AkcpiCO5gNiQoERGpQLSIiIiIiIp2Epj+IHKZgQLQr5yK4/HporLW5IhEREREREZHQUEAkcpiCW9z3SY2GqCTrl4iIiIiIiEgnoCVmIocpOIMoOyXa5kpEREREREREQksBkchhqG5oorjagxMfg+ZeDZ/cBk31dpclIiIiIiIiEhIKiEQOw7aSOgCGRlfi3vIZLH0BnOE2VyUiIiIiIiISGgqIRA7D1pIaAMbFlVkDyX3BocdHREREREREOgd9whU5DM1b3IcXWwNJfWysRkRERERERCS0FBCJHIZgQJRj7LQGkvvaWI2IiIiIiIhIaCkgEvkBHq+PJXll9KCY/nv+aw32Pt7eokRERERERERCyGV3ASLt3WuLdlBY2cAzkf/B6fdA5onQ70d2lyUiIiIiIiISMppBJHIINR4vj83ZDJjEDz4VolPhjPvAMOwuTURERERERCRkNINI5BCenreF0tpGslNiGHHuzeD/Nbgj7C5LREREREREJKQ0g0jkAPZUNfDr11aQ89WNnOZYxs2n98ftdCgcEhERERERkU5JM4ik62iogrpSSMo+5GmV9U1Meexr4mq28lj4Qk6N2EjU4D+2UZEiIiIiIiIibU8ziKTT27inmu92VsDrF8O/RsPOpYc8/9VFOyiu9nBZ9GIAYrJG43ApSxUREREREZHOS596pVOrb/Rx/hPfEN+4m6/CvrIGZ/8ZrvjwgOc3ev28sCAPMDk/bCF4gWEXtlW5IiIiIiIiIrbQDCLp1OZtLKKqwctpxpK9g92Ggd9/wPPfX1VIUbWH02K2EV23E8JiYMCZbVStiIiIiIiIiD0UEEmn9sma3QBMdlrLysrH3wpn3AuO/b/1TdPkmflbAfhN2kprcNDZEBbVJrWKiIiIiIiI2EUBkXRaHq+PL9YVkUQVYxwbAHi6fORBz/88dw8b9lSTEtbEoLLZ1qCWl4mIiIiIiEgXoIBIOq1vtpRS7fFyUvQOHIbBWn8mz67xsbu0HPKXwO41zed6fX7+9sl6AK4eFYcjsTck9Ibsk+0qX0RERERERKTNKCCSzsnv45sVawinkdihZ2Lcspmnkn9Pk8+k9JO/wXOnwcJ/NZ/+xtKdbCmuJSk6jOmTT4IZc+CyWeBw2vgmRERERERERNqGAiLpXGqK4f+Ow7wnhdvXn8M4xzp+PKQ7RCXRc8BoAL71ZFnnFiwHoNbj5eHZGwG44dQc4iLc4HRBUh873oGIiIiIiIhIm1NAJJ1CdUMTD362gddf+T8oysUw/fhMg0FRVYzNTgJo/uf7xenWi0o2gqeaJ+dtobjaw7VxC/mZ5z/gqbHrbYiIiIiIiIjYwmV3ASKhMHPRDh6bs5mH3IvBCU/5prJpyI38atIg3E4rBx2VmYjDgFXlYfhSe+CsLmDX+kU8Na+JKBr4rfEarvklEJsKY66y+R2JiIiIiIiItB3NIJJOYcHmEgBOCd8EwIUX/ox//HQ02SnRzefERrgZnBEHwJ7YwQDM//JTGn1+7kmfR7inBBKzYcSlbVy9iIiIiIiIiL0UEEmH1+j1s3RbOd0pJcm7Bwwnif2PP+C5Y7KsZWZrzL4ARJV8R7qzinPq3rJOmHQHuMLapG4RERERERGR9kIBkXR4q3ZWUN/k47iofGug21AIjz3gueMCfYg+KukGwDBjK89kfIijqRa6HwuDz2mLkkVERERERETaFfUgkg7vm82lAHj6/himXQO1RQc9d3RgBtGc6p7c47yErHgnlxa/bB088+/gUGYqIiIiIiIiXY8+DUuHt3Cr1X/ouL7JEJMK6ccc9NyUmHD6pkZTTRRvuadxYexq68CoK6DX2DaoVkRERERERKT9UUAkHVpDk4/lOyqAQEB0GH46phexES7+OX0E4dNfhmEXwaS7WrFKERERERERkfZNS8ykQ1u+vZxGr5+zotfT5+OnYdDZMGbGIV9zzYS+zDixDw6HYQ2c+1QbVCoiIiIiIiLSfikgkg5t4Var/9C58Rsxtn4J8T0P63XN4ZCIiIiIiIiIaImZdGwLt1gB0QhfoJdQ1gQbqxERERERERHpmBQQSYdV6/GyMr+CWOpIrFpnDWafZG9RIiIiIiIiIh2QAiLpsJZuL8frN/lx7FYM0w9JfSEuw+6yRERERERERDocBUTSYQWXl50Vt9ka0OwhERERERERkaOigEg6rIVbSgAY3rTKGshSQCQiIiIiIiJyNBQQSYdU1dDE6oJKnPiISO4FYbEKiERERERERESOkra5lw5pSV4ZfhOykmOJuPxt8HnBqW9nERERERERkaOhGUTSIX0T6D90XN9ka0DhkIiIiIiIiMhRU0AkHY7Pb/LJmt2E08jpqeV2lyMiIiIiIiLS4Skgkg5n/qZiCirqOTviOyZ+MRVeu9jukkREREREREQ6NAVE0uG8umgHANfEf2sNpA20sRoRERERERGRjk8BkXQouysbmLO+iBQq6Ve1yBocPt3eokREREREREQ6OAVE0q7VeLw0VRdDbQkA/1mSj89vcmPqMgzTBz3HQEo/m6sUERERERER6di09ZO0Wx99t4vX33yNh12PEdN7GFtOf5Fnv97KVMcCLq59yTrpWPUfEhEREREREWkpW2cQlZSUkJ2dzbZt25rH1qxZw5gxY0hMTOSWW27BNM3mY/PmzWPQoEGkpKTw0EMP7XOtt956i8zMTDIyMnjttdfa6i20ewUV9fz2PytZtr3j7PZlmiaPfbGJB1/7kGcdfyXFLGP3jk3c9NznxHsKuS56Lk5/EwyeBiMutbtcERERERERkQ7PtoCopKSEKVOm7BMOeTwezj77bEaNGsXSpUvJzc3lxRdfBKC4uJipU6cyffp0Fi5cyMyZM5k7dy5ghUqXXHIJd9xxB59++il33nknGzZssOFdtS+maXLr29/xzooCrnppCQUV9XaXdFhmrSzkwc838ivXLMINLyucQzmz/h421UUzNs1kgGMnjP8VnP8iON12lysiIiIiIiLS4dkWEF100UVcfPG+y4M+/vhjKisreeihh+jbty/33nsvzz33HAAzZ84kIyODO+64g379+nHnnXc2H3v22WeZOHEiM2bMYOjQoVx//fW88sorbf6e2ptP1+7mq01W756Kuiaum7kcj9dnc1WH1uj18+DnG+hl7OEc5zcAZE9/kFH9enJcn2Tu+unJGBf/B864FxxqoSUiIiIiIiISCrZ9wn7mmWe44YYb9hlbtWoV48ePJyoqCoBhw4aRm5vbfGzixIkYhgHA2LFjWbZsWfOxU089tfk63z92IB6Ph6qqqn1+dTb1jT7u+XAdABeO7kl8pJtV+RX8/ZMN4PfD9m/ge8v32ovXl+wgv6ye30T+Fwc+6DuJhJxxvHLVOF67ZjzxGX0h83i7yxQRERERERHpVGwLiLKzs/cbq6qq2mfcMAycTifl5eX7HYuLi6OwsPCAr/v+sQO57777iI+Pb/7Vq1evULwlWy3bXs6agkrAWlr2lw/XUlBRT4+ESO6eOoQHLxgOwKuL8vD9awy88GMoXGFnyfupa/Ty6Beb6UYp00xr+SATbrG3KBEREREREZEuoF3tYuZyuQgPD99nLCIigrq6uv2OBccP9LrvHzuQ2267jd/+9rfNX1dVVXXokKihycfNb6xkR1kdlx2XBcBri/MxDPjLtGOIDHMyaVAag7rHsW5XFXnuHHLYzO75z7F5dG9O7Jdi7xsI+Pe32ymp8XBSAhi9JkFTHWQeZ3dZIiIiIiIiIp1eu2rikpSURHFx8T5j1dXVhIWF7XcsOH6g133/2IGEh4cTFxe3z6+OzNPkZ0iPePwmvPjNNl78ZhsA9587lEmD0gFrNtZlx2UC8ETleAAi17/DjOe/YntpbWgL8h95nyOf3+TlhdsBOOvUU3Bc8gZc+l5o6xIRERERERGRA2pXAdGYMWNYuHBh89d5eXl4PB6SkpL2O7ZixQp69OhxwNd9/1hXEB/l5l8Xj+Tln48lKzkKhwH3/GQIPx3Te5/zph2bQWyEi3crcigwU4g36rjc8SlvLM2H+grYMveoa3jl2+1c8OQ3FH18P9yfCd8+eUSvn7u+iJ3l9SREufnJiMC/O2e7muAmIiIiIiIi0mm1q4BowoQJVFVV8cILLwBw7733ctppp+F0Opk6dSoLFixg9uzZNDU18cADDzB58mQAzjvvPF5//XVWr15NTU0Njz76aPOxrmRC/1Q+/+3JLPrjaVw6PnO/41FhLs4f1RM/Dt7ynQTAbe7XiF30MOaDA+G1i6yg6DCZpglF65j/yj28M+tdTtz5DGmL7oPGamisOaLaX1q4DYB7stYQUVtwRK8VERERERERkZZpV1M0XC4Xzz77LNOnT+eWW27B4XDw5ZdfApCSksLDDz/MmWeeSUxMDAkJCbz44osADB8+nBtvvJHRo0cTERFBv379uO666+x7IzZyOx2kxoYf9Phlx2Ux89sdfBF2Gjf63wVgpyeS2pRexFRuhNVvwtirD3kP0zS5+uWlzN9Uwqeu3zGBnUz43i3XpE9jyITfHXbNW4pr+GpTCRlGKVPy7oFH7oHf5EJc98O+hoiIiIiIiIgcPcM0299e57t372bZsmWMHz+e5OTkfY7l5eWxfv16TjrpJGJiYvY5lpubS0FBASeffPIhexD9r6qqKuLj46msrOzw/YgOx5biGmIjXKRt/A9frNzEVZvGc1/GN0wvexy6DYVrvwLDOOjr1+2q4sePfEUiVXwSfivJVOF1xxDureGepkt4hTN597oTGNIjHjzV4AwH14H/fXh9fn7x7+V8sW4Xbyc9yci6ryHrJLjiw9Z6+yIiIiIiIiJdxuFmHu0yIGprXS0g+r7NRTWc9tA8khy1LIu8HsPnYcd5H/HY+lh+nGkycfsjGL3Hw+irmnsCPfjZBh6bs5kJ/VP5zaS+pDQW0KvvEExPJTP+s5kv1hcR6Xby8MQIJufegtF3Evz4/v3u7feb/P7t73hr2U5ud7/G1c4PwBkGV3wEvca29R+FiIiIiIiISKdzuJlHu+pBJG0vJy2G4/smU+aPZlHkiQBsnPU33ly2k/IPbsdY+w58/Ht4agLsWoVpmny0ehcA547owYjMZHr1GwYOB0ZkIn+/YDgn5CRT3+TjrdnzMUo2wqIn4Ls39rmvz29yx6w1vLVsJ1e4PrPCIYBp/6dwSERERERERKSNKSAS/jz1GFwOg3tKJwFwStPXTIrazFSntTNcjRENRWvhjctYv6uKrcW1RLn8TBqQvN+1kqLDeOXn4/j9GQOYY47ice9UAMx3roHZd4OviYYmH9fNXMbMRTuY4fqIP7tetF58yh9h2AVt8p5FREREREREZC8FREL/9FiumdCHtWYWX/uOwcTgSffDuPGxwD+UCfUP4nNHg+Fg/rLvAPhNRi6x/zoGvtx/6ZjDYXDdKTk8On0Ej/gvZKZ3EgYmfP0QxY+dyi//+Tqfrt1DmNPgyqwK60Un/gZO/n0bvmsRERERERERCVJAJAD8+tR+9E6K4s/ey3lo8Bu4z/wbJOewvPcVlBHHQ31fwLx+Gf/Z6APgx+6VUFcC3oaDXnPKsAwevXgMd5tX86vGG6gyI0mt+I4na27k5IgtvHzVOHpc+RKc/wJMuuuQjbFFREREREREpPWoSTVdu0n1920uqmHu+iIuPS6TCLcT/D6+2VrGxc8uJibcxcXjevP0/K30d+3h08g/YTTVws8/g97jDnnd/LI63lyaz8IVq7il8f/oG1mD69p5xMdGt9E7ExEREREREematIvZEVBAdHCmaTLxH1+yrbQOgDhqWRT3ByIbyyDzBLj8Q3AcwUQ004S6Mojev3+RiIiIiIiIiISWdjGTkDAMg5+O6Q3AmY5v+S7iaiscik6F8547snDIuqDCIREREREREZF2RgGR/KCLx/ZmQv9UJhx33N7B856FuO72FSUiIiIiIiIiIeOyuwBp/+Kj3Lz887HWF5nPQHgc9DnF1ppEREREREREJHQUEMmRGXah3RWIiIiIiIiISIhpiZmIiIiIiIiISBengEhEREREREREpItTQCQiIiIiIiIi0sUpIBIRERERERER6eIUEImIiIiIiIiIdHEKiEREREREREREujgFRCIiIiIiIiIiXZwCIhERERERERGRLk4BkYiIiIiIiIhIF6eASERERERERESki1NAJCIiIiIiIiLSxSkgEhERERERERHp4hQQiYiIiIiIiIh0cQqIRERERERERES6OAVEIiIiIiIiIiJdnAIiEREREREREZEuTgGRiIiIiIiIiEgXp4BIRERERERERKSLc9ldQHtgmiYAVVVVNlciIiIiIiIiIhI6wawjmH0cjAIioLq6GoBevXrZXImIiIiIiIiISOhVV1cTHx9/0OOG+UMRUhfg9/spLCwkNjYWwzDsLueoVFVV0atXL/Lz84mLi7O7HJFOQ8+WSOvQsyXSOvRsibQOPVvSkZmmSXV1NRkZGTgcB+80pBlEgMPhoGfPnnaXERJxcXH6gSXSCvRsibQOPVsirUPPlkjr0LMlHdWhZg4FqUm1iIiIiIiIiEgXp4BIRERERERERKSLU0DUSYSHh3PXXXcRHh5udykinYqeLZHWoWdLpHXo2RJpHXq2pCtQk2oRERERERERkS5OM4hERERERERERLo4BUQiIiIiIiIiIl2cAiIRERERkQ6koqKCRYsWUV5ebncpIiLSiSgg6gTWrFnDmDFjSExM5JZbbkFtpUSOTElJCdnZ2Wzbtq157FDP1bx58xg0aBApKSk89NBDNlQs0v7NmjWLPn364HK5OPbYY1m3bh2gZ0ukpd58802ysrKYMWMGPXv25M033wT0bImE0hlnnMGLL74IHPr5eeutt8jMzCQjI4PXXnvNhkpFQksBUQfn8Xg4++yzGTVqFEuXLiU3N7f5h5mI/LCSkhKmTJmyTzh0qOequLiYqVOnMn36dBYuXMjMmTOZO3euPcWLtFNbtmzhyiuv5P7776egoID+/fszY8YMPVsiLVRZWcl1113H/PnzWb16NY8//ji33HKLni2REJo5cyaffvopcOjnZ82aNVxyySXccccdfPrpp9x5551s2LDBztJFWs6UDu3dd981ExMTzdraWtM0TXPlypXmCSecYHNVIh3HpEmTzEceecQEzLy8PNM0D/1cPfzww+bAgQNNv99vmqZpvvfee+Yll1xiS+0i7dUHH3xgPvXUU81fz5kzx4yMjNSzJdJCO3bsMP/97383f71q1SozJiZGz5ZIiJSWlprp6enmgAEDzBdeeOGQz8+NN95oTp48ufm1//znP83bb7/dlrpFQkUziDq4VatWMX78eKKiogAYNmwYubm5Nlcl0nE888wz3HDDDfuMHeq5WrVqFRMnTsQwDADGjh3LsmXL2rZokXZuypQpXHPNNc1fb9iwgX79+unZEmmhXr16cckllwDQ1NTEww8/zDnnnKNnSyREbr75Zs455xzGjx8PHPr5WbVqFaeeemrza/VsSWeggKiDq6qqIjs7u/lrwzBwOp1qWihymL7//AQd6rn632NxcXEUFha2Sa0iHVFjYyMPPvggv/jFL/RsiYTIqlWr6NatG5988gmPPvqoni2REJg7dy5ffPEFDzzwQPPYoZ4fPVvSGSkg6uBcLhfh4eH7jEVERFBXV2dTRSId36Geq/89pudN5NDuuusuoqOjmTFjhp4tkRAZNmwYn332Gf369dOzJRICDQ0NXHvttTzxxBPExsY2jx/q+dGzJZ2RAqIOLikpieLi4n3GqqurCQsLs6kikY7vUM/V/x7T8yZycHPmzOHxxx/n1Vdfxe1269kSCRHDMBg1ahQvvfQS77zzjp4tkRa65557GDNmDGedddY+44d6fvRsSWekgKiDGzNmDAsXLmz+Oi8vD4/HQ1JSko1ViXRsh3qu/vfYihUr6NGjhx1lirRreXl5TJ8+nccff5zBgwcDerZEWmrevHnccsstzV+HhYVhGAaDBg3SsyXSAq+++iqzZs0iISGBhIQEXn31Va677jpeeumlgz4/erakM1JA1MFNmDCBqqoqXnjhBQDuvfdeTjvtNJxOp82ViXRch3qupk6dyoIFC5g9ezZNTU088MADTJ482eaKRdqX+vp6pkyZwrRp0zjnnHOoqamhpqaGk046Sc+WSAv079+fp59+mqeffpr8/Hz++Mc/cvrpp3PmmWfq2RJpga+++oo1a9awcuVKVq5cydSpU/nLX/7Cjh07Dvr8nHfeebz++uusXr2ampoaHn30UT1b0uEZpmmadhchLfP+++8zffp0IiMjcTgcfPnll81/Wysih8cwDPLy8sjKygIO/Vw9+eST3HDDDcTExJCQkMDChQtJT0+3sXqR9mXWrFn85Cc/2W88Ly+P7777Ts+WSAt8/vnn3HTTTeTn5zN58mT+7//+j9TUVP13SySErrjiCk455RSuuOKKQz4/t99+O//4xz+IiIigX79+fPXVV0RGRtpcvcjRU0DUSezevZtly5Yxfvx4kpOT7S5HpFM41HOVl5fH+vXrOemkk4iJibGpQpGOSc+WSOvQsyXSOg71/OTm5lJQUMDJJ5+sHkTS4SkgEhERERERERHp4tSDSERERERERESki1NAJCIiIiIiIiLSxSkgEhERERERERHp4hQQiYiIiIiIiIh0cQqIRERERFrZI488wj/+8Q8AvF4vHo8Hv99vc1UiIiIieykgEhEREQmRu+66i/PPP3+/8REjRnD77bezZMkSXn31VeLj44mPjychIaH5l9vt5l//+td+r920aRMbN24EYNasWYwbN67V34eIiIh0PQqIRERERA6D0+kkLi6uOcx57LHH9jsnLCyMsLCw/cYnTJjAddddR1VVFZdddhkNDQ1UV1dTUVHR/Gvy5MlERETs99rnn3+ep59+GgCXy7XPOT6fj/r6+hC+SxEREemqXHYXICIiItIRuN1uli9fTk5ODlOmTMHlcvHnP/8Zt9uNw+HAMAwWLFjA7t27ueeee5g2bRrDhg2jb9++PP744zz88MM/eA+Xa///NXM6nTidTgAcDgeLFi0iKysLsAKiESNG8P7774f0vYqIiEjXo4BIRERE5DD8b3jjdrsZPHgwLpcLl8uFYRhs2rQJj8fDMcccQ3x8PGDNKgoPDwdg2LBhVFVV7XOda6+9lttuu22fMb/fj9/vP2BgNH78eL788st9xpqamnC73S19iyIiItKFKSASEREROQwOh4ORI0ficDiora3lvPPO48ILL2TlypUce+yxAGzYsAGfz8e5557b/Dqn04lhGADs3r2bxYsXN88AuvXWWw+4RGzx4sWccMIJxMbG4nBYHQGefPJJTNPE7/eTkpLSfK7X68XhcFBWVtZK71xERES6AvUgEhERETkMDoeD5cuXN/cLMgyDjRs3Mn78eLZu3XrY1zicsbFjx9LU1ERFRQVlZWXk5eVRUlLCf//7X6655hpKSkqafwXPEREREWkJBUQiIiIih+FA29L379+f888/n3vuueewr3PiiSeSlZVFVlYWTzzxxAHPcTgczcHR119/TXZ2Njt27KC4uJgFCxY0n+fxeLjoootYv379Eb4bERERkX0pIBIRERE5DD6fb5+vTdME4JprriEyMvKwr/P111+zbds2tm3bxi9/+ctDnrts2TLOP/98nnzySXr37t3c7wiswOryyy8nNzeX1NTUI3w3IiIiIvtSDyIRERGRw+Dz+Rg7diwOh4OqqiqmTZsGWFvYT5gw4bCuEQyVvu9AM5MA5syZw/nnn88TTzzBhRdeuM+xuro6LrvsMrZs2cLs2bNJTk4+wncjIiIisi8FRCIiIiKHwev1snjx4uZt7puamo74Gunp6Zxyyin7jF177bUHPDciIoIXXnihOYgK2r59O8OHD2fUqFF89dVXxMTEHHEdIiIiIv9LAZGIiIjIYUhNTW1e3vXMM88QFRW13zlVVVXNO5YF1dXV4fV6Afjuu+8OeG3TNCkpKWm+ps/no2fPniQkJDB79mzy8vJYunQpH3zwAQMGDODWW29l8uTJoXx7IiIi0sUpIBIRERE5DLt27Wr+fffu3fc5VlNTw/jx49m4cSNPPvnkfscaGhoOet2SkhL69etHeno6J554ImA1qb788svZtGkT2dnZDBo0iNGjR/OHP/yBPn36hPBdiYiIiFgM80CL4UVERETkiOTm5pKWlkZKSsoRv7awsJCMjIxWqEpERETk8CggEhERERERERHp4rTNvYiIiIiIiIhIF6eASERERERERESki1NAJCIiIiIiIiLSxSkgEhERERERERHp4hQQiYiIiIiIiIh0cQqIRERERERERES6OAVEIiIiIiIiIiJdnAIiEREREREREZEuTgGRiIiIiIiIiEgX9/8B/+8cybSQlJQAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1400x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 拼接预测结果\n",
    "all_pred = np.empty(len(close_prices))\n",
    "all_pred[:] = np.nan   # 先填充空值\n",
    "all_pred[window_size:] = model.predict(X)  # 从第 window_size 天开始才有预测\n",
    "\n",
    "plt.figure(figsize=(14,6))\n",
    "plt.plot(close_prices, label=\"真实收盘价\")\n",
    "plt.plot(all_pred, label=\"模型预测\", linestyle=\"--\")\n",
    "plt.title(\"收盘价预测效果（训练+测试）\")\n",
    "plt.xlabel(\"时间步\")\n",
    "plt.ylabel(\"收盘价\")\n",
    "plt.legend()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "338b0e98",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "future_days = 10  # 预测未来10天\n",
    "future_preds = []\n",
    "\n",
    "last_window = close_prices[-window_size:].copy()\n",
    "for _ in range(future_days):\n",
    "    pred = model.predict([last_window])[0]\n",
    "    future_preds.append(pred)\n",
    "    # 更新窗口：丢掉最早一天，加上预测值\n",
    "    last_window = np.append(last_window[1:], pred)\n",
    "\n",
    "# 可视化：历史 + 未来预测\n",
    "plt.figure(figsize=(12,6))\n",
    "plt.plot(range(len(close_prices)), close_prices, label=\"历史收盘价\")\n",
    "plt.plot(range(len(close_prices), len(close_prices)+future_days),\n",
    "         future_preds, label=\"未来预测\", marker=\"o\")\n",
    "plt.title(\"未来走势预测\")\n",
    "plt.xlabel(\"时间步\")\n",
    "plt.ylabel(\"收盘价\")\n",
    "plt.legend()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "effb8bce",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
